Bioinformatics | Genomics | Oncology Revealing the Impact of Genomic Alterations on Cancer Cell Signaling with an Interpretable Deep Learning Model. August 12, 2023
Computational Biology | Oncology | Precision Medicine An interpretable deep learning framework for genome-informed precision oncology. July 28, 2023
Cancer Biology | Genomics | Oncology An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. December 22, 2022
Genomics | Oncology | Precision Medicine Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers. October 16, 2022
Bioinformatics | Data Science | Oncology Discovering functional impacts of miRNAs in cancers using a causal deep learning model. April 17, 2019
Computational Biology | Genetics A novel method of using Deep Belief Networks and genetic perturbation data to search for yeast signaling pathways. March 22, 2019
Oncology | Precision Medicine Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics. February 1, 2019
Bioinformatics | Genomics | Oncology Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma. December 2, 2018