aipoch

88 mods across 2 repositories, 5.1k stars between them.

aipoch/medical-research-skills

Skill Claude CodeCodex

Use this skill to run GSVA or ssGSEA pathway-level differential analysis from a bulk expression matrix and a sample group file, then generate a heatmap from the saved GSVA result object. Trigger keywords: GSVA, ssGSEA, pathway enrichment, KEGG pathway analysis, MSigDB. NOT for: gene-level differential expression…

1.8k 1mo ago A 88 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when building a sample-level hierarchical clustering dendrogram from a bulk expression matrix and sample annotation table, especially for QC, batch inspection, or sample similarity assessment. Trigger keywords: hierarchical clustering, dendrogram, sample QC, batch inspection, sample similarity. NOT for…

1.8k 1mo ago A 74 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Run immune pathway GSVA or ssGSEA analysis from a bulk expression matrix, a sample group file, and a local immune Reactome gene-set table, then export differential pathway results and a heatmap for two-group comparison.

1.8k 1mo ago A 50 tokens original MIT

km-survival-curve

76

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when generating Kaplan-Meier survival curves from tabular survival data containing time, event status, and a precomputed risk group. Supports command-line parameter input, parameter validation, automatic time-unit handling, single-file PDF figure export, and session metadata capture.

1.8k 1mo ago A 57 tokens original MIT

knn-imputation

77

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when filtering genes with high missingness and then imputing missing values in a bulk expression matrix with group-aware KNN through DMwR2, where donor samples are restricted by one annotation column before imputation. For strata with 10 or fewer samples, the script falls back to row-wise direct filling with mean…

1.8k 1mo ago A 95 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when building a binary classification model from an expression matrix or other omics feature matrix with LASSO logistic regression, cross-validation, and coefficient path visualization. NOT for: multiclass classification, survival/Cox models, or ordinary linear regression.

1.8k 1mo ago A 55 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use this bioinformatics data analysis skill to construct a database-driven lncRNA-mRNA regulatory network from target lncRNA and/or gene lists by projecting shared miRNA evidence from local ceRNA reference tables. It does not infer networks from expression matrices.

1.8k 1mo ago A 60 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when assessing how well a survival model's predicted probabilities agree with observed outcomes by fitting a Cox model and generating bootstrap calibration curves at one or more prediction horizons from a clinical CSV file. NOT for: nomogram construction, univariate Cox screening, ROC analysis, or decision-curve…

1.8k 1mo ago A 64 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when constructing a prognosis nomogram from survival-related clinical predictors, exporting the nomogram bundle and C-index table, and optionally rendering the final nomogram PDF. NOT for: univariate/multivariable Cox feature screening, calibration curves, ROC analysis, decision-curve analysis, or non-survival…

1.8k 1mo ago A 67 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when performing PCA principal component dimensionality reduction on tabular numeric data. Supports command-line parameter input, automatic numeric feature selection, parameter validation, result directory creation, and CSV or TXT format result export.

1.8k 1mo ago A 48 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when you need a standardized R CLI workflow to build a protein-protein interaction network from a local gene list and an offline STRING cache, export node and edge tables, and render a reproducible PDF network plot. NOT for online API fetching, arbitrary graph databases, multi-omics integration, or non-STRING…

1.8k 1mo ago A 69 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when you need a standardized R CLI workflow to train a two-class random forest model from an expression-like feature matrix, rank variable importance, and generate reproducible error and importance plots. NOT for regression tasks, multi-class classification, missing-value imputation, preprocessing, or remote data…

1.8k 1mo ago A 64 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when evaluating diagnostic biomarker performance from case-control expression data with logistic regression and ROC curves, exporting coefficient and AUC tables together with a ROC PDF. NOT for: survival analysis, time-to-event outcomes, multiclass classification, calibration curves, decision-curve analysis, or…

1.8k 1mo ago A 64 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when performing correlation analysis between two variables including Pearson and Spearman correlation methods. Supports command-line parameter input, automatic data format detection, parameter validation, result directory creation, and CSV or TXT format result export.

1.8k 1mo ago A 47 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when generating Sankey or alluvial plots from sample annotation tables where rows are samples and selected columns are categorical stages such as risk group, response status, subtype, or cohort labels. NOT for: gene network flow analysis, continuous-value trajectories, or graph-structured pathway visualization.

1.8k 1mo ago A 64 tokens original MIT

aipoch/medical-research-skills

Skill Claude CodeCodex

Use when estimating immune infiltration from bulk RNA-seq expression matrices with ssGSEA/GSVA, comparing case versus control groups, and generating downstream immune-score visualizations. NOT for single-cell RNA-seq, absolute cell proportion estimation, or clinical decision making.

1.8k 1mo ago A 62 tokens original MIT