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Reusable instructions for compatible AI agents.
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Remove batch effects from RNA-seq data using ComBat, ComBat-Seq, limma removeBatchEffect, and SVA for unknown batch variables. Use when correcting batch effects in expression data.
Agent skill for Financial Analyst, Data Scientist, ML / AI Engineer, published by aibot88. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Backend Developer, published by brycewang-stanford. Project details and file access are provided by the publisher.
Designs genomics experiments so technical nuisance variation (batch, lane, plate, flow cell, operator, reagent lot, processing day) is balanced against the biological variable of interest and therefore estimable rather than confounded, using constrained sample-to-batch assignment (designit, OSAT)...
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 alignment, peak-density correspondence, gap-filling, CAMERA redundancy collapse, and built-in QC feature f...
Build forest plots (HR, OR, RR, beta-coefficient summaries with CIs) and funnel plots (meta-analysis publication-bias diagnostics) using forestplot, metafor, ggforest, and MendelianRandomization with proper axis-scaling, summary-diamond placement, subgroup nesting, and Egger / trim-and-fill asymm...
Constructs stat arb strategies with pair selection, signal generation, and portfolio optimization under market neutrality constraints. Use when building stat arb models, designing market-neutral strategies, or optimizing pair portfolios.
Claude Code template for LaTeX, Beamer, and R research workflows
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, X...
Apply instrumental variables, 2SLS, and address endogeneity issues
Advanced econometric modeling for marketing effectiveness and budget optimization
Expert-level quantitative finance and algorithmic trading. Use when working with factor models, statistical arbitrage, backtesting, alpha research, portfolio optimization, time series analysis, machine learning for finance, or building systematic trading strategies. Also use when the user mention...
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