Author

Wenqi Fu

Huawei Technologies (China)Primary ORCID profile (0000-0002-6407-7168 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Wenqi FuiD1 paper · Brandeis University

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Bing LiuiD· 1 shared Chi XuiD· 1 shared Dali HaniD· 1 shared Denghui LiuiD· 1 shared Guangdun PengiD· 1 shared Jie YangiD· 1 shared Lei Zhang· 1 shared Nan QiaoiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Bing LiuORCID

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1 paper

Recent·Most cited

AutoGenome: An AutoML Tool for Genomic Research

Denghui Liu, Chi Xu, Wenjun He, Zhimeng Xu, Wenqi Fu, Lei Zhang, Jie Yang, Zhihao Wang, Bing Liu, Guangdun Peng, Dali Han, Xiaolong Bai, Nan Qiao

AutoGenome is an automated deep learning framework for genomic profiling data that uses a residual fully-connected neural network and AutoML to train high-performance models.

Artificial Intelligence in the Life Sciences · Nov 22, 2021Peer-reviewedGenomics