Author

Qiangzu Zhang

ORCID 0000-0002-9990-3124Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Gang Niu· 2 shared Yanhui FaniD· 2 shared Zhendong FengiD· 2 shared Chunming ZhangiD· 1 shared Ciqiu Yang· 1 shared Guangming TaniD· 1 shared Hongfei Gao· 1 shared Juntao Xu· 1 shared

Activity by Year

2019-2019 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Gang Niu

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 15, 2019

A literature mining method to judge whether there are uncertaintiesin empirical-dependent antineoplastic drug distribution in specificclinical scenarios.

Xiaoyang Ji, Zhendong Feng, Qiangzu Zhang…·Gang Niu

This paper develops a literature mining method to assess drug-gene associations and evaluate antineoplastic drug efficacy in specific cancer types using regression analysis and the GDSC database.

DOI 10.1101/842401

statistical modelbenchmarking

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Cancer BiologybioRxivPreprintFeb 26, 2019

Rare non-synonymous germline mutations systematically define the risk of triple negative breast cancer

Mei Yang, Yanhui Fan, Zhi-Yong Wu…·Kun Wang

This paper identifies rare germline mutations associated with triple-negative breast cancer risk using a machine learning approach and shows improved risk prediction compared to existing methods.

DOI 10.1101/302398

humanwhole-exome sequencing

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