Yifeng Tao
Cited by
Cited by
From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer
Y Tao, C Cai, WW Cohen, X Lu
Pacific Symposium on Biocomputing 25, 79-90, 2020
Effective feature representation for clinical text concept extraction
Y Tao, B Godefroy, G Genthial, C Potts
Proceedings of the Clinical Natural Language Processing Workshop, 1-14, 2019
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.
H Wang, X Liu, Y Tao, W Ye, Q Jin, WW Cohen, EP Xing
Pacific Symposium on Biocomputing 24, 112-123, 2019
Phylogenies derived from matched transcriptome reveal the evolution of cell populations and temporal order of perturbed pathways in breast cancer brain metastases
Y Tao, H Lei, AV Lee, J Ma, R Schwartz
International Symposium on Mathematical and Computational Oncology, 3-28, 2019
Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data
H Lei, EM Gertz, AA Schäffer, X Fu, Y Tao, K Heselmeyer-Haddad, ...
bioRxiv, 2020.02.29.970392, 2020
Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis
Y Tao, H Lei, X Fu, AV Lee, J Ma, R Schwartz
Bioinformatics 36 (Supplement_1), i407-i416, 2020
Improving personalized prediction of cancer prognoses with clonal evolution models
Y Tao, A Rajaraman, X Cui, Z Cui, J Eaton, H Kim, J Ma, R Schwartz
bioRxiv, 761510, 2019
Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases
Y Tao, H Lei, AV Lee, J Ma, R Schwartz
Frontiers in physiology 11, 1055, 2020
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention
Y Tao, S Ren, MQ Ding, R Schwartz, X Lu
Proceedings of Machine Learning Research 126, 660-684, 2020
The system can't perform the operation now. Try again later.
Articles 1–9