Author

Quanhua Mu

Hong Kong University of Science and TechnologyORCID 0000-0002-6891-5616Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Jiguang WangiD· 2 shared Chunsheng KangiD· 1 shared Fan WuiD· 1 shared Fan ZengiD· 1 shared Guanzhang LiiD· 1 shared Hanjie LiuiD· 1 shared Huimin HuiD· 1 shared Jing CheniD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Jiguang WangORCID

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2 papers

Recent·Most cited

Extensive MET alterations confer clinical response to MET inhibitors in gliomas

Zheng Zhao, Jing Chen, Zhaoshi Bao, Ruichao Chai, Kenan Zhang, Lingxiang Wu, Hanjie Liu, Quanhua Mu, Huimin Hu, Fan Zeng, Zheng Wang, Guanzhang Li, Yuanhao Chang, Qiangwei Wang, Fan Wu, , Tao Jiang

This study identifies MET gene alterations in gliomas and shows that these alterations are associated with better response to MET inhibitors.

bioRxiv · Nov 2, 2020 · PreprintNeuroscience

CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene Expression

Quanhua Mu, Jiguang Wang

CNAPE predicts copy number alterations from gene expression data using a machine learning model trained on The Cancer Genome Atlas data, achieving over 90% accuracy for arm-level CNAs.

IEEE Transactions on Computational Biology and Bioinformatics · Oct 1, 2019Peer-reviewedBioinformatics