Best statistics skills, page 6

Programmatic untargeted LC-MS feature extraction in R with the modern xcms 4.x MsExperiment/XcmsExperiment API, taking raw mzML to a feature table via CentWave peak detection, retention-time…

GPTomics/bioSkills

Turns a shotgun profiler table (MetaPhlAn relative abundance, Bracken counts, HUMAnN function tables) into honest figures and defensible community statistics with phyloseq, vegan, microViz, and…

GPTomics/bioSkills

Discovers shared and view-specific latent factors across bulk multi-omics blocks (RNA-seq, proteomics, methylation) on a common sample axis with MOFA2's unsupervised Bayesian group factor model…

GPTomics/bioSkills

Tests a ranked gene vector for coordinated expression shifts in GO, KEGG, Reactome, or MSigDB gene sets with clusterProfiler's gseGO, gseKEGG, gsePathway, and GSEA (fgseaMultilevel engine), and…

GPTomics/bioSkills

Single-variant common-variant GWAS with plink2 --glm (linear/logistic, Firth) and the linear mixed models GEMMA, BOLT-LMM, SAIGE, regenie (SPA).

GPTomics/bioSkills

Computes linkage disequilibrium (r2, D', composite Rogers-Huff r2), prunes correlated variants, clumps GWAS summary statistics to lead SNPs, and defines haplotype blocks with PLINK 1.9/2.0 and…

GPTomics/bioSkills

In-memory Python population genetics with scikit-allel - GenotypeArray/HaplotypeArray/AlleleCountsArray, diversity (pi, theta, Tajima's D), SFS, FST (Weir-Cockerham, Hudson, Patterson), f3/D…

GPTomics/bioSkills

Tests whether a proposed or predicted RNA secondary structure is supported by evolutionary covariation using R-scape, which scores compensatory substitutions against a phylogeny-aware null and…

GPTomics/bioSkills

Calculate assembly and sequence statistics (N50/L50, auN, NG50/NGA50, length distribution, GC content with ambiguity handling, summary reports) using Biopython.

GPTomics/bioSkills

Build the spatial neighbor graph that every downstream spatial statistic (Moran's I, neighborhood enrichment, co-occurrence, spatial domains) inherits, using Squidpy.

GPTomics/bioSkills

Detects spatially variable genes, spatial autocorrelation, and cell-type colocalization for spatial transcriptomics using Squidpy with PySAL/esda for local statistics.

GPTomics/bioSkills

Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives…

GPTomics/bioSkills

Compute and interpret VCF quality-control metrics (Ti/Tv, het/hom, novel/known, missingness, HWE, contamination, relatedness) with bcftools stats, vcftools, plot-vcfstats, and identity tools…

GPTomics/bioSkills

End-to-end flow, spectral, and mass cytometry (CyTOF) pipeline from raw FCS files to differentially abundant/expressed cell populations.

GPTomics/bioSkills

Orchestrates imaging mass cytometry from raw MCD acquisitions to patient-level spatial analysis, chaining steinbock preprocessing, Mesmer/Cellpose segmentation, single-cell quantification…

GPTomics/bioSkills

Orchestrates the untargeted LC-MS metabolomics pipeline end-to-end (xcms 4.x feature extraction, QC/drift/normalization, confidence-stratified annotation, permutation-validated statistics…

GPTomics/bioSkills

Orchestrates the end-to-end bulk RNA-seq differential-expression pipeline from FASTQ to an annotated DE gene table, chaining fastp QC/trim, Salmon (decoy-aware) or STAR+featureCounts quantification…

GPTomics/bioSkills

Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin.

jeremylongshore/tons-of-skills-marketplace

This skill covers Bayesian estimation and inference in quantitative social science.

brycewang-stanford/Auto-Empirical-Research-Skills

Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

brycewang-stanford/Auto-Empirical-Research-Skills

Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot.

brycewang-stanford/Auto-Empirical-Research-Skills

Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics.

brycewang-stanford/Auto-Empirical-Research-Skills

Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration.

brycewang-stanford/Auto-Empirical-Research-Skills

Applied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction.

borghei/Claude-Skills

Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.

yogsoth-ai/de-anthropocentric-research-engine

The analysis and lifecycle owner for experiments. An agent skill from ai-analyst-lab/ai-analyst.

ai-analyst-lab/ai-analyst

Market research on a ticker, sector, or theme with dated sources, plus technical screening through the screener, moving-average, momentum, and volatility calculators.

AojdevStudio/Finance-Guru

对多Sheet Excel文件进行基础统计与，支持按条件筛选计算均值，以及从指定行区间提取数据去重求和，并生成结果文件与下载链接。

MichaelYang-lyx/AIDABench

A skill your agent uses when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it…

gaasher/Agent-Loop-Skills

Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks

NeuroAIHub/BrainPilot

Full statistical audit of experiment results. An agent skill from appleweiping/WEIPING_WIKI.

appleweiping/WEIPING_WIKI

Generates fact-checked infographic posters by verifying every statistic against peer-reviewed sources before producing the image prompt.

dmccreary/ibook-skills

Evaluating scientific evidence and claims. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Guide for annotating statistical significance (p-value asterisks) on comparison plots.

jaechang-hits/SciAgent-Skills

Extract, filter, annotate, and export differential expression results from DESeq2 or edgeR.

majiayu000/claude-skill-registry

Quality control and normalization for metabolomics data. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython.

majiayu000/claude-skill-registry

Compute spatial statistics for spatial transcriptomics data using Squidpy.

majiayu000/claude-skill-registry

Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing.

majiayu000/claude-skill-registry

Search the web for real-time information using the Skywork web search API.

aiskillstore/marketplace

A seasoned DBA interviewer who has diagnosed every slow query pattern in production.

PrepLabsAI/InterviewMentor

Retrieves comprehensive gene information including PubMed publication counts, NCBI summaries, and Ensembl transcript data.

aipoch/medical-research-skills

Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English.

aipoch/medical-research-skills

Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics.

aipoch/medical-research-skills

A skill your agent uses when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.

ZimoLiao/scholaraio

Extracts, filters, annotates, and exports differential expression results from DESeq2 or edgeR with proper handling of padj=NA (independent filtering, Cook's outliers, all-zero), multiple-testing…

GPTomics/bioSkills

Performs differential expression on bulk RNA-seq count data with DESeq2's negative-binomial GLM, Wald and LRT testing, apeglm/ashr/normal LFC shrinkage, independent filtering, Cook's outlier…

GPTomics/bioSkills

Assesses genetic health of populations for conservation with Ne estimation across time horizons (LDNe NeEstimator V2 option-file API + SNeP physical-linkage correction; recent trajectory via…

GPTomics/bioSkills