Mowgli

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

Muon — multimodal omics data analysis framework from the scverse ecosystem. Built on the MuData container for multi-modal single-cell experiments including CITE-seq, Multiome (RNA+ATAC), TEA-seq, and

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

Giotto Suite — R toolkit for spatial multi-omics analysis at all scales and resolutions. Processes data from Visium, MERFISH, Xenium, CosMx, Slide-seq, CODEX, Stereo-seq, and other spatial technologie

2 shared topics

totalVI and MultiVI — deep generative models from scvi-tools for multi-modal single-cell integration. totalVI jointly models scRNA-seq and protein (CITE-seq) data via a variational autoencoder for den

2 shared topics