5 skills found
CostaLab / PILOTDetection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
mingjingsi / FIRMFlexible Integration of single-cell RNA-sequencing data for large-scale Multi-tissue cell atlas datasets
CostaLab / PILOT GM VAEPatient-Level Analysis of Single Cell Disease Atlas with Optimal Transport of Gaussian Mixtures Variational Autoencoders
fzbio / ScCAFESource code for Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE
Ashford-A / UniVIUniVI is a scalable multi-modal VAE toolkit for aligning heterogeneous single-cell datasets into a shared latent space—supporting unimodal, dual-modal, and tri-modal (and beyond) integration. It can additionally be used for cross-modal imputation, data generation of biologically-relevant synthetic samples, data denoising, and structured evaluation.
