Joint representation and visualization of derailed cell states with Decipher
Achille Nazaret, Joy Linyue Fan, Vincent‐Philippe Lavallée, Cassandra Burdziak, Andrew E. Cornish, Vaidotas Kiseliovas, Robert L. Bowman, Ignas Masilionis, Jaeyoung Chun, Shira Esther Eisman, James Wang, Justin Hong, Lingting Shi, Ross L. Levine, Linas Mažutis, , Elham Azizi
Decipher is a deep generative model that integrates single-cell RNA-seq data to visualize and characterize transitions between normal and perturbed cell states across different diseases.
Genome biology · Jul 23, 2025Peer-reviewedBioinformatics