Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder
Raihanul Bari Tanvir, Ricardo Ruiz, Samuel Ebert, Masrur Sobhan, Abdullah Al Mamun, Ananda Mohan Mondal
The paper develops a deep learning framework using Concrete Autoencoder to identify key genes for quantifying intratumor heterogeneity, showing that a subset of genes suffices for accurate ITH scoring.
Lecture notes in computer science · Jan 1, 2023Peer-reviewedBioinformatics