Trinotate

CPTAC pipelines — Python toolkit for accessing and analyzing Clinical Proteomic Tumor Analysis Consortium (CPTAC) multi-omics cancer data. Provides programmatic download of proteomics, phosphoproteomi

2 shared topics • 1 shared operation

DIABLO (Data Integration Analysis for Biomarker discovery using Latent cOmponents) — supervised multi-omics integration method from the mixOmics R package. Performs sparse generalized canonical correl

2 shared topics • 1 shared operation

mixOmics — R/Bioconductor package for multi-omics data integration using multivariate projection methods. Provides PCA, PLS, sPLS, PLS-DA, sPLS-DA, DIABLO (multi-block sPLS-DA), and MINT (multi-study

2 shared topics • 1 shared operation

mofapy2 is a Python package implementing Multi-Omics Factor Analysis v2 (MOFA+) for unsupervised integration of multi-omics datasets. It identifies latent factors that capture sources of variation sha

2 shared topics • 1 shared operation

spatialdata is the scverse Python framework for managing, analyzing, and visualizing multi-modal spatial omics datasets. Provides a unified SpatialData object that stores images, segmentation labels,

2 shared topics • 1 shared operation