Deep learning with implicit handling of tissue-specific phenomena predicts tumor DNA accessibility and immune activity
Kamil Wnuk, Jeremi Sudol, Kevin Bijan Givechian, Patrick Soon‐Shiong, Shahrooz Rabizadeh, Christopher W. Szeto, Charles Joseph Vaske
The paper develops a deep learning model to predict DNA accessibility and immune activity in tumors using RNA-seq data, achieving high accuracy across diverse genomic regions and cohorts.
iScience · Sep 14, 2019Peer-reviewedBioinformatics