#bioxiv

Patches: A Representation Learning framework for Decoding Shared and Condition-Specific Transcriptional Programs in Wound Healing Single-cell genomics enables the study of cell states and cell state transitions across biological conditions like aging, drug treatment, or injury. However, existing computational methods often strug...

Check out our newest preprint on #bioxiv. We developed Patches, a tool for extracting joint and condition specific signatures from scRNA-seq data in complex experimental designs like wound healing: www.biorxiv.org/content/10.1...

GitHub: github.com/Computationa...