Zhang, Yi

Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples

Jin, W., Tang, Q., Wan, M., Cui, K., Zhang, Y., Ren, G., Ni, B., Sklar, J., Przytycka, T. M., Childs, R., et al. (2015) · Nature

Genomics and Chromatin DynamicsSingle-cell and spatial transcriptomics

Cited by 332

Therapeutically Increasing MHC-I Expression Potentiates Immune Checkpoint Blockade

Gu, S. S., Zhang, W., Wang, X., Jiang, P., Traugh, N., Li, Z., Meyer, C., Stewig, B., Xie, Y., Bu, X., et al. (2021) · Cancer Discovery

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 273

Oncogenic KRAS supports pancreatic cancer through regulation of nucleotide synthesis

Santana-Codina, N., Roeth, A. A., Zhang, Y., Yang, A., Mashadova, O., Asara, J. M., Wang, X., Bronson, R. T., Lyssiotis, C. A., Ying, H., et al. (2018) · Nature Communications

Pancreatic and Hepatic Oncology ResearchCancer, Hypoxia, and Metabolism

Cited by 252

Machine Learning Modeling of Protein-Intrinsic Features Predicts Tractability of Targeted Protein Degradation

Zhang, W., Roy Burman, S. S., Chen, J., Donovan, K. A., Cao, Y., Shu, C., Zhang, B., Zeng, Z., Gu, S., Zhang, Y., et al. (2022) · Genomics, Proteomics & Bioinformatics

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 51

Machine learning modeling of protein-intrinsic features predicts tractability of targeted protein degradation

Zhang, W., Roy Burman, S. S., Chen, J., Donovan, K. A., Cao, Y., Zhang, B., Zeng, Z., Zhang, Y., Li, D., Fischer, E. S., et al. (2021) · Genomics Proteomics & Bioinformatics

Protein Degradation and InhibitorsComputational Drug Discovery Methods

Cited by 51