Nextflow Modules
Showing module(s) with keyword "pca"
| Module | Kind | Keywords | Description |
|---|---|---|---|
| nf-core/custom/clustervisualization | Process | clustering visualization pca umap tsne dimension-reduction | Generates UMAP and t-SNE visualizations colored by cluster |
| nf-core/custom/pcaclustering | Process | clustering kmeans dbscan pca embeddings plink2 eigenvec | Performs KMeans or DBSCAN clustering on a sample-by-feature numeric matrix (e.g. principal components, embeddings) |
| nf-core/pcaone | Process | pca population genetics dimensionality reduction svd genotype | Fast, accurate and memory-efficient PCA on large-scale genotype or single-cell data |
| nf-core/plink2/pca | Process | plink2 pca plink2_pca | Perform PCA analysis using PLINK |
| nf-core/scanpy/pca | Process | pca principal-component-analysis scanpy single-cell dimensionality-reduction | Perform principal component analysis (PCA) on single-cell RNA-seq data using Scanpy |
| nf-core/snpclustering | Workflow | snp clustering pca plink2 beagle imputation population genetics | Subworkflow for SNP clustering. Takes genotyped VCF files, imputes missing genotypes with BEAGLE5, converts to PLINK2 pgen format, performs PCA,then runs PCA-based clustering, cluster metrics, and cluster visualization. |