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Our new paper is on biorxiv! "Predicting master transcription factors from pan-cancer expression data" biorxiv.org/content/10.110…. We set out to find master TFs in ovarian cancer, and went on quite a journey... A few highlights in the thread 1/
Prioritizing candidate MTFs without ChIP-seq data is tough, so we developed a gene expression-based approach which we loving called the Cancer Core Transcription factor Specificity (CaCTS) algorithm 🌵. (We then decorated the lab in cactuses) /2
Using CaCTS we identified candidate MTFs for 34 major tumor types and 140 molecular/histologic subtypes.
Candidate MTFs tend to be associated with super-enhancers, and many are lineage-specific essential genes - woo CaCTS works! 3/
Candidate MTFs tend to be associated with super-enhancers, and many are lineage-specific essential genes - woo CaCTS works! 3/
