Yuanfang Guan, Ph.D.
Affiliations: | 2010 | Princeton University, Princeton, NJ |
Area:
Molecular Biology, Bioinformatics Biology, Botany BiologyGoogle:
"Yuanfang Guan"Parents
Sign in to add mentor| Olga G. Troyanskaya | grad student | 2010 | Princeton | |
| (Prediction algorithms and evolutionary interpretation of functional genomic data.) | ||||
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Publications
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| Lin CX, Li HD, Deng C, et al. (2021) TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data. Nucleic Acids Research |
| Xiao Y, Wang X, Zhang H, et al. (2020) FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples. Nature Communications. 11: 4469 |
| Wang Z, Li H, Carpenter C, et al. (2020) Challenge-Enabled Machine Learning to Drug-Response Prediction. The Aaps Journal. 22: 106 |
| Fan K, Guan Y, Zhang Y. (2020) Graph2GO: a multi-modal attributed network embedding method for inferring protein functions. Gigascience. 9 |
| Yang M, Petralia F, Li Z, et al. (2020) Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Systems |
| Mason MJ, Schinke C, Eng CLP, et al. (2020) Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease. Leukemia |
| Rai V, Quang DX, Erdos MR, et al. (2020) Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures. Molecular Metabolism. 32: 109-121 |
| Li H, Siddiqui O, Zhang H, et al. (2019) Joint learning improves protein abundance prediction in cancers. Bmc Biology. 17: 107 |
| Zou Z, Zhang H, Guan Y, et al. (2019) Deep residual neural networks resolve quartet molecular phylogenies. Molecular Biology and Evolution |
| Li H, Guan Y. (2019) Machine Learning Empowers Phosphoproteome Prediction in Cancers. Bioinformatics (Oxford, England) |