bio-multi-omics-data-harmonization
Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types. Use when preparing multi-omics datasets for integration analysis.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-multi-omics-data-harmonization --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: DESeq2 1.42+ 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. # Data Harmonization for Multi-Omics **"Prepare my multi-omics data for integration"** → Normalize, batch-correct, align features, and handle missing values across RNA-seq, proteomics, methylation, and other data types before joint analysis. - R: `MultiAssayExperiment` for unified multi-omics containers ## MultiAssayExperiment Structure ```r library(MultiAssayExperiment) # Load individual assays rna <- SummarizedExperiment(assays = list(counts = rna_matrix), colData = sample_info) protein <- SummarizedExperiment(assays = list(intensity = protein_matrix), colData = sample_info) methylation <- SummarizedExperiment(assays = list(beta = meth_matrix), colData = sample_info) # Create experiment list exp_list <- ExperimentList(RNA = rna, Protein = protein, Methylation = methylation) # Sample map (links samples t
- Version Compatibility
- MultiAssayExperiment Structure
- Normalization Per Assay
- Cross-Omics Batch Correction
- Feature Alignment (Gene-Level)
- Missing Value Handling
- Sample Matching and Subsetting
- Scale and Center
- Export Harmonized Data
- Related Skills
What does the bio-multi-omics-data-harmonization skill do?
Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types. Use when preparing multi-omics datasets for integration analysis.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-multi-omics-data-harmonization --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.