Yifeng Tao
Affiliations: | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computational Cancer GenomicsGoogle:
"Yifeng Tao"
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Publications
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| Tao Y, Ma X, Palmer D, et al. (2022) Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers. Nucleic Acids Research |
| Lei H, Guo XA, Tao Y, et al. (2022) Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer. Bioinformatics (Oxford, England). 38: i386-i394 |
| Fu X, Lei H, Tao Y, et al. (2022) Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations. Bioinformatics (Oxford, England). 38: i125-i133 |
| Ren S, Tao Y, Yu K, et al. (2022) De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 27: 278-289 |
| Fu X, Lei H, Tao Y, et al. (2021) Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
| Lei H, Gertz EM, Schäffer AA, et al. (2021) Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data. Bioinformatics (Oxford, England) |
| Tao Y, Rajaraman A, Cui X, et al. (2021) Assessing the contribution of tumor mutational phenotypes to cancer progression risk. Plos Computational Biology. 17: e1008777 |
| Tao Y, Lei H, Lee AV, et al. (2020) Neural Network Deconvolution Method for Resolving Pathway-Level Progression of Tumor Clonal Expression Programs With Application to Breast Cancer Brain Metastases. Frontiers in Physiology. 11: 1055 |
| Tao Y, Lei H, Fu X, et al. (2020) Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis. Bioinformatics (Oxford, England). 36: i407-i416 |
| Tao Y, Cai C, Cohen WW, et al. (2020) From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 25: 79-90 |