data-stats-analysis
Statistical Analysis (Universal)
Overview
This skill enables you to perform rigorous statistical analyses including t-tests, ANOVA, correlation analysis, hypothesis testing, and multiple testing corrections. Unlike cloud-hosted solutions, this skill uses standard Python statistical libraries (scipy, statsmodels, numpy) and executes locally in your environment, making it compatible with ALL LLM providers including GPT, Gemini, Claude, DeepSeek, and Qwen.
When to Use This Skill
- Compare means between groups (t-tests, ANOVA)
- Test for correlations between variables
- Perform hypothesis testing with p-value calculation
- Apply multiple testing corrections (FDR, Bonferroni)
- Calculate statistical summaries and confidence intervals
- Test for normality and distribution fitting
- Perform non-parametric tests (Mann-Whitney, Kruskal-Wallis)
How to Use
Step 1: Import Required Libraries
import numpy as np
More from starlitnightly/omicverse
single-cell-downstream-analysis
AUCell pathway scoring, metacell DEG, scDrug response, SCENIC regulons, cNMF programs, and NOCD community detection in OmicVerse.
50single-cell-annotation-skills-with-omicverse
Cell type annotation: SCSA, MetaTiME, CellVote consensus, CellMatch, GPTAnno, weighted KNN label transfer in OmicVerse.
49bulk-rna-seq-deseq2-analysis-with-omicverse
PyDESeq2 differential expression: ID mapping, DE testing, fold-change thresholding, and GSEA enrichment visualization in OmicVerse.
47single-cell-preprocessing-with-omicverse
Single-cell QC, normalization, HVG detection, PCA, neighbor graph, UMAP/tSNE embedding pipelines in OmicVerse (CPU/GPU).
44single-cell-multi-omics-integration
Multi-omics integration: MOFA factor analysis, GLUE unpaired alignment, SIMBA batch correction, TOSICA label transfer, StaVIA trajectory. Covers scRNA+scATAC paired/unpaired workflows.
41data-export-pdf
Create professional PDF reports with text, tables, and embedded images using reportlab. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
38