bio-multi-omics-mixomics-analysis
Supervised and unsupervised multi-omics integration with mixOmics. Includes sPLS for pairwise integration and DIABLO for multi-block discriminant analysis. Use when performing supervised multi-omics integration or identifying features that discriminate between groups.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-multi-omics-mixomics-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: mixOmics 6.26+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion("<pkg>")` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # mixOmics Multi-Omics Analysis **"Integrate my multi-omics data with supervised analysis"** → Identify cross-omics feature signatures that discriminate between groups using sparse PLS and multi-block discriminant analysis. - R: `mixOmics::block.splsda()` (DIABLO), `mixOmics::spls()` for pairwise integration ## Setup and Data Preparation **Goal:** Load and align omics matrices with matching sample labels and phenotype information. **Approach:** Read each omics layer and phenotype, then intersect to common samples. ```r library(mixOmics) # Load omics matrices (samples x features) X_rna <- as.matrix(read.csv('rnaseq.csv', row.names = 1)) X_protein <- as.matrix(read.csv('proteomics.csv', row.names = 1)) Y <- factor(read.csv('phenotype.csv')$Condition) # Ensure matching samples common <- Reduce(intersect, l
- Version Compatibility
- Setup and Data Preparation
- Pairwise Integration: sPLS
- DIABLO: Multi-Block Discriminant Analysis
- DIABLO Visualization
- Extract Selected Features
- MINT: Multi-Study Integration
- Unsupervised: sPCA and sPLS-DA Single Omics
- Model Performance and Validation
- Related Skills
What does the bio-multi-omics-mixomics-analysis skill do?
Supervised and unsupervised multi-omics integration with mixOmics. Includes sPLS for pairwise integration and DIABLO for multi-block discriminant analysis. Use when performing supervised multi-omics integration or identifying features that discriminate between groups.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-multi-omics-mixomics-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.