Bioinformatics | Genomics | Oncology A Metastatic Cancer Expression Generator (MetGen): A Generative Contrastive Learning Framework for Metastatic Cancer Generation. May 11, 2024
Oncology | Pharmacogenomics Predicting drug response through tumor deconvolution by cancer cell lines. April 22, 2024
Oncology shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning. February 19, 2024
Oncology | Transcriptomics Transformer for Gene Expression Modeling (T-GEM): An Interpretable Deep Learning Model for Gene Expression-Based Phenotype Predictions. October 17, 2022
Bioinformatics | Computational Biology | Genetics Deep learning tackles single-cell analysis-a survey of deep learning for scRNA-seq analysis. December 20, 2021
Genomics | Oncology Predicting and characterizing a cancer dependency map of tumors with deep learning. August 21, 2021
Bioinformatics | Oncology CancerSiamese: one-shot learning for predicting primary and metastatic tumor types unseen during model training. May 13, 2021
Bioinformatics | Oncology Prediction and Interpretation of Cancer Survival Using Graph Convolution Neural Networks. January 23, 2021
Bioinformatics | Genomics | Oncology Classification of Cancer Types Using Graph Convolutional Neural Networks. January 13, 2021
Oncology Convolutional neural network models for cancer type prediction based on gene expression. April 3, 2020
Genomics | Oncology | Pharmacology Deep learning of pharmacogenomics resources: moving towards precision oncology. December 9, 2019
Bioinformatics | Computational Biology | Genomics GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization. April 8, 2019