Author

Yifan Xue

University of PittsburghORCID 0000-0003-4068-2707Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Xinghua LuiD· 2 shared Ke YuiD· 1 shared Michael Qi DingiD· 1 shared Russell S. SchwartziD· 1 shared Shuangxia ReniD· 1 shared Yifeng TaoiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

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6 top collaborators · 11 mutual co-author links

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2 shared papersBioinformatics

Xinghua LuORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 11, 2021

De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization

Shuangxia Ren, Yifeng Tao, Ke Yu…·Xinghua Lu

This paper introduces DeepGRMF, a deep learning model that predicts cell-drug sensitivities by integrating drug structures, signaling impacts, and cell states, outperforming existing methods on cancer datasets.

DOI 10.1101/2021.10.11.462450

humanbulk RNA-seq

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Bioinformaticsnpj Systems Biology and ApplicationsPeer-reviewedNov 6, 2020

Learning to Encode Cellular Responses to Systematic Perturbations with Deep Generative Models

Yifan Xue, Michael Qi Ding, Xinghua Lu

This study uses deep generative models to learn representations of transcriptomic data from cells under various perturbations, revealing relationships between perturbagens and drug-target mappings.

14 citations

bulk RNA-seqdeep learning

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