The Matrix package for R provides a rich hierarchy of S4 classes for dense and sparse matrices. It enables efficient numerical linear algebra operations and is a foundational component of the R ecosys
Use with AI
Install the MCP server or CLI to instantly fetch Matrix (R Package) documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/matrix
BCFtools — comprehensive toolkit for manipulating variant calls in VCF and BCF format. Provides variant calling (mpileup + call), filtering, querying, merging, concatenation, normalization, annotation
1 shared topic • 2 shared operations
Limnology (freshwater science) — computational toolkit for freshwater ecosystem analysis including lake thermal stratification (rLakeAnalyzer), lake metabolism estimation (LakeMetabolizer), eDNA metab
1 shared topic • 2 shared operations
Use when performing GWAS fine-mapping with PAINTOR (Probabilistic Annotation INTegratOR). Computes posterior inclusion probabilities (PIPs) for causal variants by integrating summary statistics (Z-sco
1 shared topic • 2 shared operations
Use when working with PolyFun — functionally-informed polygenic fine-mapping from GWAS summary statistics. Computes per-SNP heritability priors using S-LDSC with functional annotations, then runs SuSi
1 shared topic • 2 shared operations
Use when working with SparsePro for GWAS fine-mapping and causal variant identification. Sparse variational inference framework that computes posterior inclusion probabilities (PIPs) and credible sets
1 shared topic • 2 shared operations