MCP HeartbeatTHE MCP OBSERVATORY
Public workspace

Explore

Evidence for your next connection.

Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Code & DevOps

三域医研 · 科研算法引擎 (SanYu Research Engine)

147 tools: deterministic compute + 39 AI writers; each response self-labels data_source + verified.

Checks passed
14 / 22

1 failed · 7 not measured

Median response
1746 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
150

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Responded

The server completed its last measured handshake. This is an observation, not a guarantee.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
013
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
400
Publisher identityCan the publisher be traced to its source?
402

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 2094 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-06-18, serverInfo.name sanyu-research.

  • Pass
    Lists tools

    tools/list returned 150 tools.

  • Pass
    Current protocol

    Negotiated 2025-06-18. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 1746 ms over 2 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 2059 ms over 2 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    2 of 2 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Fail
    Stable tool list

    removed act_deep_compare_revisions, act_distribution_fit, act_omics_paper_draft, act_protein_paper_draft, act_protocol_ai_generate, design_next_step, paper_draft_one_click, protocol_export, protocol_export_check; required parameter added (qpcr_bayesian_design.ctrl_ct, qpcr_bayesian_design.treat_ct)

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Pass
    Parameters documented

    441 of 441 parameters have a description (100%). The bar is 80%.

  • Pass
    Safety hints

    Every tool sets readOnlyHint or destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Not measured
    Website matches publisher

    This namespace is not a reverse domain, so the website comparison does not apply.

  • Pass
    Source repo linked

    A repository URL is on file.

  • Pass
    Repo owner matches

    The GitHub repository owner matches the namespace login.

  • Pass
    Recently updated

    Updated 2026-11-10T13:10:31.109576Z, within 180 days.

  • Not measured
    Open-source licence

    The GitHub licence lookup has not returned an OSI result yet.

Start using 三域医研 · 科研算法引擎 (SanYu Research Engine)

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http sanyu-research-engine https://sanyu.wentangkeji.com/api/mcp

Capabilities

Tools 150

Showing 100 of 150 tools.

academic_polish

Academic language polishing / 中英文润色 | USE WHEN: the user wants a paragraph polished: academic English, remove Chinglish, tighten wording | ALIASES: 润色, 改英语, 中式表达, 语言润色, polish, proofread, 学术英语 | RETURNS: 润色后文本

Discovered
acceptance_probability

Acceptance probability / 录用概率预测 | USE WHEN: the user asks the chance of acceptance at a specific journal | ALIASES: 中稿概率, 录用概率, 能中吗, acceptance, predict success, 投中的机会 | RETURNS: 中稿概率与依据

Discovered
act_crf_suggest_coding

CRF 编码建议 用户问 CRF 字段该怎么编码、要不要用 CDASH MedDRA/WHO-DD 字段归类建议(哪些字段属 AE/CM、该用哪本字典、编到哪一层;不含术语级编码)

Discovered
animal_dose_volume

Animal dose & injection volume / 动物给药量计算 | USE WHEN: compute the dose (mg) and injection volume (mL) for an animal from body weight and mg/kg | ALIASES: 动物给药量, 给药体积, 按体重给药, dose volume, mg/kg, 注射体积, 灌胃体积 | RETURNS: 给药量与体积

Discovered
animal_randomization

Animal randomization / 动物随机分组 | USE WHEN: randomly assign animals to groups as required by ARRIVE | ALIASES: 动物随机分组, animal randomization, 分组表, 动物分组 | RETURNS: 分组表

Discovered
animal_sample_size

Animal sample size (3R) / 动物实验样本量 | USE WHEN: how many animals per group are needed (power-based, ARRIVE/3R wording) | ALIASES: 动物样本量, 动物要多少只, 每组几只, animal sample size, 3R, power animals | RETURNS: 每组动物数

Discovered
animal_survival_km

Animal survival analysis / 动物生存分析 | USE WHEN: Kaplan-Meier and log-rank on animal death/survival times | ALIASES: 动物生存分析, 生存曲线, log-rank, animal survival, KM, 死亡时间 | RETURNS: KM 曲线与 log-rank

Discovered
arrive_checklist

ARRIVE 2.0 checklist / ARRIVE 2.0 检查 | USE WHEN: check an animal experiment against the ARRIVE 2.0 reporting guideline | ALIASES: ARRIVE, 动物实验规范, 动物伦理报告, animal reporting, ARRIVE 2.0 | RETURNS: ARRIVE 条目核对

Discovered
atac_diff

ATAC-seq differential accessibility / ATAC 差异可及性 | USE WHEN: differential open regions from ATAC-seq counts | ALIASES: ATAC, 差异可及性, 染色质开放, differential accessibility, peak差异 | RETURNS: 差异 peak

Discovered
bioequivalence_compare

Bioequivalence (BE) / 生物等效性评价 | USE WHEN: compare test vs reference AUC/Cmax and judge 80-125% bioequivalence with 90% CI | ALIASES: 生物等效性, BE, AUC Cmax, 90%CI, 等效性判定, bioequivalence | RETURNS: 90%CI 与等效性判定

Discovered
calibration_curve

Calibration curve (prediction model) / 校准曲线 | USE WHEN: assess calibration of a risk model and get the curve plus Brier score | ALIASES: 校准曲线, 校准度, Brier, calibration, 预测模型校准, 可靠性曲线 | RETURNS: 校准曲线与 Brier 分数

Discovered
cell_assay_calc

Cell assay calculator / 细胞实验通用计算 | USE WHEN: CCK8 / wound healing / Transwell / colony formation calculations (pick tool_id: cck8, wound-healing, transwell, colony) | ALIASES: CCK8, 划痕实验, Transwell, 克隆形成, 细胞增殖, 迁移实验, cell viability, wound healing | RETURNS: 计算结果

Discovered
chip_peak_calling

ChIP-seq peak calling / ChIP-seq Peak calling | USE WHEN: call peaks from ChIP-seq reads | ALIASES: ChIP-seq, peak calling, 峰识别, 转录因子结合, ChIP | RETURNS: peak 清单

Discovered
citation_format

Citation formatting / 引文格式化 | USE WHEN: reformat references to Vancouver / APA / GB-T 7714 | ALIASES: 参考文献格式, 引文格式, Vancouver, APA, GB/T 7714, citation, 文献格式 | RETURNS: 格式化后的引文

Discovered
citation_verify

Verify citation authenticity / 引文真实性核验 | USE WHEN: check whether references are fabricated (existence check against the local corpus) | ALIASES: 核验参考文献, 引用是真的吗, 假文献, citation verify, 参考文献真实性, hallucinated reference | RETURNS: 逐条核验结果

Discovered
classification_metrics

Classification metrics / 分类性能报告 | USE WHEN: full diagnostic performance set: accuracy, sensitivity, specificity, PPV, NPV, F1 | ALIASES: 分类性能, 准确率, 敏感度, 特异度, PPV, NPV, confusion matrix, 诊断指标 | RETURNS: 分类指标全套

Discovered
cloning_design

Molecular cloning design / 克隆方案设计 | USE WHEN: design a plasmid construct: homology arms, primers, assembly strategy | ALIASES: 分子克隆, 构建质粒, 同源臂, cloning, Gibson, 酶切连接, 引物设计克隆 | RETURNS: 克隆方案与引物

Discovered
compare_manuscript_versions

Compare two manuscript versions / 改稿前后对比 | USE WHEN: the user wants to know what changed between a before and after revision of the same passage | ALIASES: 改稿对比, 修改前后, 两版差异, compare revisions, diff, 版本对比 | RETURNS: 逐段差异与改进评估

Discovered
consort_flowchart

CONSORT flow diagram / CONSORT 流程图 | USE WHEN: draw a CONSORT participant flow diagram from screening/randomization/loss counts | ALIASES: CONSORT流程图, 流程图, 入组流程, flow diagram, 筛选失访 | RETURNS: CONSORT 流程图

Discovered
cover_letter

Cover letter / 投稿信 Cover Letter | USE WHEN: the user wants a cover letter to the journal editor | ALIASES: 投稿信, cover letter, 给编辑的信, 投稿说明 | RETURNS: 投稿信正文

Discovered
crf_sdtm_validate

CRF / SDTM validation / CRF 数据校验(SDTM) | USE WHEN: check whether CRF data meets CDISC SDTM conventions before export | ALIASES: CRF校验, SDTM, CDISC, 数据合规, 导出前检查, CRF validate, data standards | RETURNS: 校验结果

Discovered
dataframe_parse

Parse pasted data / infer column types / 数据解析与列类型识别 | USE WHEN: the user pasted a CSV/table blob: get shape, column types, missingness before analysis | ALIASES: 解析数据, 列类型, 粘贴表格, CSV解析, parse data, column types, 数据形状 | RETURNS: 行列数、列类型、缺失情况

Discovered
dataset_columns

List data columns / 读取数据列名 | USE WHEN: list the variables in an uploaded data file (do this before Table 1 / modeling so you use real column names) | ALIASES: 列名, 有哪些变量, 字段名, columns, variables, 变量清单, 表头 | RETURNS: 列名与类型

Discovered
dataset_profile

Dataset profile / 数据快速画像 | USE WHEN: first look at a data file: distributions, missingness, outliers, data quality overview | ALIASES: 数据长什么样, 描述统计, 缺失情况, 数据质量, data profile, descriptive, summary stats, EDA | RETURNS: 描述统计与质量概览

Discovered
decision_arbitration

Multi-option decision arbitration / 决策引擎裁决 | USE WHEN: the user must choose between several options or pipelines and wants a quantified ruling | ALIASES: 裁决, 取舍, 决策引擎, 多方案比较, arbitration, which option is better | RETURNS: 裁决结果与理由

Discovered
deep_peer_review

Deep peer review (six dimensions) / 深度审稿(六维) | USE WHEN: the user wants reviewer-grade deep comments, as if reviewed by a strict peer reviewer | ALIASES: 深度审稿, 模拟审稿人, 严格审稿, deep review, reviewer comments | RETURNS: 深度审稿报告

Discovered
deidentify_phi

De-identify text (HIPAA 18 + China national ID) / 数据脱敏 | USE WHEN: the user needs patient text de-identified before sharing: names, dates, phone, ID number, MRN | ALIASES: 脱敏, 去标识, 隐私, HIPAA, PHI, 匿名化, deidentify, anonymize | RETURNS: 脱敏后文本

Discovered
delong_auc_compare

DeLong test (compare two AUCs) / 两条 ROC 的 AUC 比较(DeLong) | USE WHEN: compare two ROC AUCs from the same subjects and test whether the difference is significant | ALIASES: DeLong, 两个AUC比较, 哪个指标更好, AUC差异, compare AUC, 曲线下面积比较 | RETURNS: 两 AUC 及差值 P 值

Discovered
design_gate_rules

Design gate rules / 方案设计闸门规则 | USE WHEN: explain why a design step is blocked, or what the platform requires for each step (hard gates G1/G2/G3) | ALIASES: 方案设计闸门, 为什么不让过, 硬性要求, gate rules, validation rules, why blocked | RETURNS: 每步是否有硬闸门、三道跨步闸门 G1/G2/G3 的原文规则

Discovered
design_protocol_generate

Full research protocol generation / 完整研究方案 / 方案设计工具 | USE WHEN: the user wants a complete research protocol including sample size, statistical plan and ethics points | ALIASES: 研究方案, 方案正文, 写方案, 方案生成, protocol, full protocol | RETURNS: 完整研究方案 JSON(14 段)或单项工具结构化结果;缺参时返回 needs_user_input 明确列出缺什么,不返回编造值

Discovered
design_step_context

Design step context / 取某一步的上下文 | USE WHEN: load what the user already answered for a design step (PICO / design type / population) before drafting the next step | ALIASES: 方案设计上下文, 上一步内容, 已经填过的信息, design context, previous step, project context | RETURNS: 该步骤可用的前序上下文(pico / design_type / population / topic)

Discovered
design_type_decision

Study design decision / 研究设计决策推荐 | USE WHEN: the user asks which study design to use (RCT vs cohort etc.) and why; rule-based decision tree with a scoring matrix, not LLM guessing | ALIASES: 用什么设计, RCT还是队列, 设计决策, 选哪个设计, design decision, which design type | RETURNS: 推荐设计类型、框架、推荐依据、分配比例

Discovered
differential_expression

Differential expression (limma-style) / 差异表达分析 | USE WHEN: differential genes from an expression matrix (with volcano plot input) | ALIASES: 差异表达, 差异基因, DEG, differential expression, 火山图, 表达矩阵, limma | RETURNS: 差异基因清单(log2FC、t 统计量、p_value、BH-FDR 校正后的 padj、显著/上调/下调标记)

Discovered
distribution_fit

Distribution goodness-of-fit / 分布拟合检验 | USE WHEN: the user asks whether the data are normally distributed or which distribution fits (normality / goodness-of-fit test) | ALIASES: 分布拟合, 正态性检验, 是不是正态, 服从什么分布, KS检验, Shapiro, distribution fit, goodness of fit, normality test | RETURNS: 拟合优度

Discovered
dna_translate

DNA → protein translation / 序列翻译 | USE WHEN: translate a nucleotide sequence into amino acids in all three frames | ALIASES: 序列翻译, 核酸转蛋白, 翻译, translate, DNA to protein, 氨基酸序列, ORF翻译 | RETURNS: 氨基酸序列

Discovered
drug_interaction_check

Drug-drug interaction check / 药物相互作用检查 | USE WHEN: can these two drugs be used together? interaction severity and mechanism | ALIASES: 药物相互作用, 能不能一起用, 配伍禁忌, DDI, drug interaction, 相互作用 | RETURNS: 相互作用等级与机制

Discovered
dunn_posthoc

Dunn post-hoc test / 多组非参数两两比较(Dunn) | USE WHEN: pairwise comparisons after Kruskal-Wallis (nonparametric, multiple groups) | ALIASES: Dunn, 非参数两两比较, Kruskal-Wallis后续, post hoc, 多重比较 | RETURNS: 两两比较 P 值

Discovered
egger_bias_test

Egger's test (publication bias) / Meta 发表偏倚(Egger) | USE WHEN: test publication bias in a meta-analysis and get funnel-plot inputs | ALIASES: Egger, 发表偏倚, 漏斗图, publication bias, meta回归, funnel plot | RETURNS: Egger 检验 P 与截距

Discovered
evidence_followup

Evidence follow-up Q&A / 证据追问(多轮) | USE WHEN: multi-turn follow-up on an evidence card (causal judgement) | ALIASES: 证据追问, 继续追问, 证据卡, evidence followup, 因果判断 | RETURNS: 追问答复

Discovered
evidence_intake

Structured evidence intake / 文献证据分级录入 | USE WHEN: decompose a paper into a structured evidence card by evidence level (Decision OS) | ALIASES: 证据分级, 证据卡, 文献拆解, evidence level, GRADE, 证据录入 | RETURNS: 结构化证据卡

Discovered
evidence_report

Evidence report narrative / 证据报告叙述 | USE WHEN: turn evidence cards into a readable report | ALIASES: 证据报告, 证据综述, evidence report, 证据叙述 | RETURNS: 证据报告正文

Discovered
experiment_plan_generate

Bench experiment plan / 实验方案生成 | USE WHEN: the user needs an animal or cell experiment plan (basic research) | ALIASES: 实验方案, 动物实验, 细胞实验, 基础实验设计, experiment plan, bench work plan | RETURNS: 实验方案

Discovered
fibrosis_staging

Liver fibrosis staging / 纤维化分期 | USE WHEN: map fibrosis scores to Ishak / METAVIR stage | ALIASES: 纤维化分期, Ishak, METAVIR, 肝纤维化, fibrosis stage, 病理分期 | RETURNS: 分期结论与解读

Discovered
figure_legend

Figure legend writer / 图注生成 | USE WHEN: write a figure legend for a given chart type | ALIASES: 图注, Figure legend, 图片说明, 图例, 写图注 | RETURNS: 图注文本

Discovered
flow_cluster

Flow cytometry clustering / 流式细胞聚类 | USE WHEN: unsupervised clustering of flow cytometry data into cell populations | ALIASES: 流式聚类, 无监督分群, flow clustering, 细胞群, FlowSOM | RETURNS: 细胞群与比例

Discovered
flow_gate

Flow cytometry gating / 流式门控分析 | USE WHEN: gating / population percentages from flow cytometry data | ALIASES: 流式门控, 圈门, gating, 阳性比例, flow cytometry | RETURNS: 门控比例

Discovered
forest_plot

Forest plot / 森林图 | USE WHEN: forest plot from HR/OR/RR with confidence intervals | ALIASES: 森林图, forest plot, HR OR RR, 置信区间图, meta森林图 | RETURNS: 森林图(矢量)

Discovered
gene_info_lookup

Gene information lookup / 基因信息检索 | USE WHEN: what a gene does: full name, aliases, function, location | ALIASES: 基因信息, 这个基因是干什么的, gene function, 别名, gene info, 基因全称 | RETURNS: 基因信息

Discovered
gene_pathway_disease

Gene → pathway → disease network / 基因-通路-疾病网络 | USE WHEN: from a gene list, find pathway / disease / drug associations and build a mechanism network | ALIASES: 基因通路, 机制网络, gene pathway, 疾病关联, 药物靶点, network, 通路疾病 | RETURNS: 通路/疾病/药物关联

Discovered
geo_dataset_pipeline

GEO dataset pipeline / GEO 数据全流程 | USE WHEN: end-to-end on a GEO accession: DEG → enrichment → immune infiltration | ALIASES: GEO, GSE, 数据集分析, GEO编号, geo dataset, public data reanalysis | RETURNS: 差异基因、富集结果

Discovered
gleason_grade_group

Gleason grade group / Gleason 分级分组 | USE WHEN: Gleason score → Grade Group and risk stratum (prostate cancer) | ALIASES: Gleason, 前列腺癌分级, Grade Group, 格里森评分, 前列腺病理 | RETURNS: Grade Group 与风险分层

Discovered
go_kegg_enrichment

GO / KEGG enrichment / 通路富集(GO/KEGG) | USE WHEN: pathway enrichment for a gene list (GO biological process, KEGG) | ALIASES: 富集分析, GO, KEGG, 通路富集, enrichment, 通路, 功能注释 | RETURNS: 富集通路与 P 值

Discovered
ic50_fit

IC50 curve fitting / IC50 曲线拟合 | USE WHEN: fit a dose-response curve and report IC50 with 95% CI | ALIASES: IC50, 半数抑制浓度, 剂量效应曲线, dose response, 抑制率拟合, GI50 | RETURNS: IC50 值与 95%CI

Discovered
idea_ignite

Idea ignition / 想法点燃 | USE WHEN: the user gives one vague word or a hunch and wants it expanded into researchable directions | ALIASES: 想法, 一个词, 不知道研究啥, 灵感, 发散一下, idea, hunch, expand this idea | RETURNS: 扩展研究方向

Discovered
ihc_hscore

IHC scoring (H-score / Allred) / IHC 免疫组化评分 | USE WHEN: immunohistochemistry scoring from staining intensity percentages (H-score, Allred, positive rate) | ALIASES: 免疫组化评分, H-score, Allred, IHC, 阳性率, 染色评分, ER PR HER2 | RETURNS: H-score / Allred / 阳性率

Discovered
iptw_weighting

IPTW inverse probability weighting / IPTW 逆概率加权 | USE WHEN: propensity-score weighting (ATE/ATT) for observational comparisons | ALIASES: IPTW, 逆概率加权, 倾向评分加权, propensity weighting, 加权后效应, ATE | RETURNS: 权重与加权后效应

Discovered
journal_recommend

Journal recommendation / 智能选刊 V3 | USE WHEN: recommend target journals from title/abstract, in reach / match / safe tiers | ALIASES: 选刊, 投哪个期刊, 期刊推荐, journal, submission target, 冲稳保, 投稿建议 | RETURNS: 候选期刊与三档策略

Discovered
kaplan_meier

Kaplan-Meier curve / Kaplan-Meier 曲线 | USE WHEN: KM curve and median survival only (no multivariable model) | ALIASES: KM曲线, Kaplan-Meier, 中位生存, 生存曲线, 生存率, log-rank | RETURNS: KM 曲线与中位生存

Discovered
linear_mixed_model

Linear mixed model (repeated measures) / 线性混合模型(纵向/重复测量,公式模式) | USE WHEN: same subject measured repeatedly (pre/post, multiple follow-ups): compare trajectories over time, group×time interaction; modern replacement for repeated-measures ANOVA (handles missing, no sphericity assumption) | ALIASES: 混合模型, 重复测量, 纵向数据, LMM, mixed model, 交互作用, 多次随访, 每人测多次, repeated measures | RETURNS: 固定效应系数/SE/Wald z/P/95%CI(按真实变量名,不是 X1/X2)、各项整体检验 omnibus、交互项检验、primary_test、ICC、方差成分、n_subjects/n_obs、组间例数、缺失与收敛告警

Discovered
list_my_data_files

List the caller's uploaded data files / 列出我的数据文件 | USE WHEN: the user asks what data files they have uploaded / available in the workspace | ALIASES: 我的数据, 已上传文件, 数据文件列表, my data, list files | RETURNS: 数据文件列表(含 file_id/文件名/行数)

Discovered
literature_compare

Compare with published literature / 与已有文献对比 | USE WHEN: the user wants to know how their findings differ from what is already published | ALIASES: 和文献比, 新在哪, 对比已有研究, literature compare, how is this different | RETURNS: 对比结论

Discovered
literature_digest_card

Literature digest card / 文献摘要卡生成 | USE WHEN: the user gives a paper and wants a structured digest card out of it | ALIASES: 摘要卡, 文献卡片, 精读卡, digest, literature card | RETURNS: 摘要卡

Discovered
literature_review_outline

Review outline from reading list / 文献综述提纲 | USE WHEN: the user wants a review outline built from the papers already digested | ALIASES: 综述提纲, review outline, 按精读文献出提纲 | RETURNS: 综述提纲

Discovered
literature_search_pmc

Literature search (1.53M PMC full texts) / 文献检索(站内 153 万篇 PMC) | USE WHEN: search the in-house PMC corpus for literature / evidence / state of the art | ALIASES: 找文献, 文献检索, 检索文献, literature search, PMC, 证据, 研究现状, PubMed替代 | RETURNS: 文献列表(含 PMCID)

Discovered
local_literature_compare

Local literature comparison / 本地文献对比 | USE WHEN: the user gives a topic and wants a cross-comparison table of the in-house literature | ALIASES: 本地文献对比, 横向对比, 文献对比表, local literature compare | RETURNS: 对比表

Discovered
mermaid_diagram

Mermaid diagram generation / 生成流程图(Mermaid) | USE WHEN: the user wants a flow chart, sequence diagram or mind map expressed as Mermaid code | ALIASES: 流程图, Mermaid, 时序图, 思维导图, 画流程, diagram, flowchart | RETURNS: Mermaid 代码

Discovered
metabolite_heatmap

Metabolite heatmap / 代谢组热图 | USE WHEN: clustered heatmap of metabolites | ALIASES: 代谢热图, 聚类热图, heatmap, metabolite heatmap | RETURNS: 聚类热图

Discovered
metabolite_pathway

Metabolite pathway enrichment / 代谢物通路富集 | USE WHEN: pathway enrichment for differential metabolites | ALIASES: 代谢物通路, 代谢富集, metabolite pathway, KEGG代谢, 差异代谢物 | RETURNS: 代谢通路富集

Discovered
metabolite_pca

Metabolite PCA / 代谢组 PCA | USE WHEN: sample separation / outliers in metabolomics (unsupervised) | ALIASES: 代谢组PCA, PCA, 样本分组趋势, 离群, unsupervised, 得分图 | RETURNS: PCA 得分与解释度

Discovered
metabolite_plsda

Metabolite PLS-DA / 代谢组 PLS-DA | USE WHEN: supervised discrimination and VIP for differential metabolites | ALIASES: PLS-DA, 有监督判别, VIP, 代谢组判别, 判别分析 | RETURNS: PLS-DA 模型与 VIP

Discovered
metabolite_volcano

Metabolite volcano plot / 代谢组火山图 | USE WHEN: volcano plot of differential metabolites | ALIASES: 代谢火山图, volcano, 差异代谢物火山图 | RETURNS: 火山图

Discovered
mif_phenotype

Multiplex IF phenotyping / 多重免疫荧光表型 | USE WHEN: assign cell phenotypes and proportions from multiplex immunofluorescence markers | ALIASES: 多重免疫荧光, mIF, 细胞表型, phenotype, marker组合, 亚群比例 | RETURNS: 细胞亚群表型与比例

Discovered
multi_omics_integrate

Multi-omics integration / 多组学整合 | USE WHEN: integrate mRNA / protein / metabolite layers and find cross-layer associations | ALIASES: 多组学, 整合分析, multi-omics, 转录组蛋白组代谢组, cross-omics | RETURNS: 多组学关联结果

Discovered
nomogram

Nomogram / 列线图 Nomogram | USE WHEN: turn a logistic or Cox model into a nomogram figure for clinical use | ALIASES: 列线图, Nomogram, 评分图, nomogram, 风险评分图 | RETURNS: 列线图 SVG

Discovered
nsfc_grant_analysis

NSFC grant fit analysis / 国自然申报分析 | USE WHEN: the user asks whether a topic fits NSFC / provincial funding, which category, and the odds | ALIASES: 国自然, NSFC, 基金申报, 省自然, 命中率, 报什么口子, grant fit | RETURNS: 国自然分析

Discovered
nuclei_count

Nuclei segmentation & counting / 细胞核分割与计数 | USE WHEN: cell density / positive rate from a tissue section (nuclei segmentation) | ALIASES: 细胞核分割, 细胞计数, 密度, nuclei count, segmentation, 阳性细胞率 | RETURNS: 分割统计结果

Discovered
omics_methods_draft

Multi-omics methods section draft / 多组学论文段落 | USE WHEN: the user wants a methods section for a multi-omics paper, assembled only from the analyses they actually ran | ALIASES: 多组学方法, 方法学段落, RNA-seq 方法, methods section, omics methods | RETURNS: 论文段落

Discovered
orf_find

ORF prediction / ORF 预测 | USE WHEN: find open reading frames in a nucleotide sequence | ALIASES: ORF, 开放阅读框, 找编码区, open reading frame, 翻译起始 | RETURNS: ORF 列表与位置

Discovered
organ_coefficient

Organ coefficient / 脏器系数 | USE WHEN: organ weight / body weight ratio (脏器系数) | ALIASES: 脏器系数, 器官系数, organ coefficient, organ index, 脏器重量比 | RETURNS: 脏器系数

Discovered
paper_outline

Manuscript outline / 生成论文提纲 | USE WHEN: the user wants the outline / chapter structure before the full text is written | ALIASES: 提纲, 目录, 章节结构, 论文框架, outline, chapter structure | RETURNS: 章节提纲

Discovered
paper_six_agent_review

Six-agent manuscript review / 论文预审(六智能体) | USE WHEN: the user wants a pre-submission review to find the reasons a paper would be rejected | ALIASES: 预审, 六智能体, 审稿意见, 投稿前审, manuscript review, six agent review | RETURNS: 审稿意见与评分

Discovered
pcr_primer_design

PCR primer design / PCR 引物设计 | USE WHEN: design PCR primer pairs from a DNA sequence or gene (Tm, GC, product size) | ALIASES: 引物设计, PCR引物, primer, 设计引物, 扩增引物, primer pair | RETURNS: 候选引物对与 Tm/GC

Discovered
pdf_text_pico

PICO from pasted text / 从文本抽取 PICO | USE WHEN: the user pastes an abstract or paragraph and wants PICO extracted from it | ALIASES: 抽取PICO, 从摘要提PICO, 文献PICO, extract pico from text | RETURNS: 结构化 PICO

Discovered
permutation_test

Permutation test / 置换检验 | USE WHEN: exact/permutation test when t-test assumptions fail or n is tiny | ALIASES: 置换检验, 随机化检验, permutation, 精确检验, 小样本非参数, resampling | RETURNS: 置换 P 值

Discovered
pico_refine

PICO refinement / PICO 精炼 | USE WHEN: turn a vague clinical question into a structured PICO (Population / Intervention / Comparator / Outcome) | ALIASES: PICO, 把问题拆开, 研究问题怎么提, refine question, 结构化问题, PICO拆解 | RETURNS: 结构化 PICO

Discovered
pico_structure

PICO structuring (design flow) / PICO 结构化精炼 | USE WHEN: the user says refine my PICO / turn this sentence into PICO / how to split PICO; only structures what the user said and reports missing elements instead of inventing them | ALIASES: 精修PICO, PICO拆解, 做成PICO, 结构化PICO, pico refine, structure pico | RETURNS: PICO 四要素结构化结果 + 提示缺哪些要素

Discovered
pk_nca

Non-compartmental PK (NCA) / NCA 非房室药代分析 | USE WHEN: non-compartmental analysis of concentration-time data: AUC, Cmax, Tmax, t1/2, CL, Vd | ALIASES: NCA, 非房室分析, 药代参数, AUC Cmax T1/2, PK parameters, 血药浓度 | RETURNS: AUC/Cmax/Tmax/T1/2/CL/Vd

Discovered
pk_pd_assess

PK/PD assessment / PK/PD 评估 | USE WHEN: pharmacokinetic/pharmacodynamic assessment and dose projection | ALIASES: PK/PD评估, 药代药效, 剂量推算, pkpd assess, 暴露量 | RETURNS: PK/PD 评估结果

Discovered
pkpd_simulate

PK/PD simulation / PK/PD 模拟 | USE WHEN: simulate concentration-effect time course for a dosing regimen | ALIASES: PK/PD模拟, 给药方案模拟, 浓度时间曲线, simulation, 剂量方案 | RETURNS: 模拟曲线与参数

Discovered
plasmid_map

Plasmid map / 质粒图谱 | USE WHEN: draw/describe a plasmid map from a sequence (features, orientation) | ALIASES: 质粒图谱, 载体结构, plasmid map, vector, 质粒构建图 | RETURNS: 质粒图谱

Discovered
ppi_network

Protein-protein interaction network / 蛋白互作网络 | USE WHEN: PPI network from a protein list, hub identification (STRING) | ALIASES: 蛋白互作, PPI, STRING, hub基因, 互作网络, network | RETURNS: 互作网络与 hub 蛋白

Discovered
pre_submission_review

Pre-submission review / 投稿前预审 | USE WHEN: the user wants a pre-submission check to find likely rejection points | ALIASES: 投稿前预审, 会被拒吗, 投稿检查, pre review, desk reject risk | RETURNS: 预审意见

Discovered
primer_tm

Primer Tm & dimers / 引物 Tm 计算 | USE WHEN: Tm, GC% and self/cross dimer check for given primer sequences | ALIASES: Tm, 引物Tm, 退火温度, GC含量, 二聚体, primer dimer, melting temperature | RETURNS: Tm、GC、二聚体

Discovered
prisma_flowchart

PRISMA flow diagram / PRISMA 流程图 | USE WHEN: PRISMA literature screening flow for systematic reviews / meta-analyses | ALIASES: PRISMA, 文献筛选流程, 系统评价流程图, flow diagram, 检索流程图 | RETURNS: PRISMA 流程图

Discovered
propensity_score_matching

Propensity score matching (PSM) / 倾向性评分匹配 PSM | USE WHEN: match treated and control subjects on baseline covariates (1:1 nearest neighbour within caliper), then report SMD balance | ALIASES: PSM, 倾向性评分, 倾向评分匹配, propensity score, 1:1匹配, 基线可比, 混杂控制, 匹配后均衡 | RETURNS: 匹配后样本与均衡性

Discovered
proposal_review

Proposal / grant review / 标书评审 | USE WHEN: the user pastes a proposal or protocol and wants scoring, weaknesses and revision advice | ALIASES: 标书评审, 方案打分, 本子, 评审意见, proposal review, grant review, 专家怎么挑毛病 | RETURNS: 五维评分与修改建议

Discovered
protein_digest

In-silico protein digestion / 蛋白酶解模拟 | USE WHEN: choose protease and list peptides for mass-spec sample prep | ALIASES: 蛋白酶解, 质谱前处理, 酶解肽段, digest, trypsin, 肽段清单 | RETURNS: 肽段清单

Discovered
protein_enrichment

Protein enrichment / 蛋白富集分析 | USE WHEN: GO/KEGG enrichment for a protein list | ALIASES: 蛋白富集, protein enrichment, 蛋白GO, 蛋白通路 | RETURNS: 富集通路

Discovered
protein_physchem

Protein physicochemical properties / 蛋白理化性质 | USE WHEN: molecular weight, pI, GRAVY, instability index etc. from a protein sequence | ALIASES: 蛋白理化性质, 分子量, 等电点, pI, GRAVY, 疏水性, MW, protein properties | RETURNS: MW/pI/GRAVY 等

Discovered
protein_ptm

Post-translational modification prediction / 翻译后修饰分析 | USE WHEN: predict phosphorylation / glycosylation and other PTM sites | ALIASES: 翻译后修饰, 磷酸化位点, 糖基化, PTM, phosphorylation, modification sites | RETURNS: 修饰位点预测

Discovered

Recent measurements

Probe history

View status
Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected2094 ms150
Connected1398 ms150