Author

Wei Qu

Fudan UniversityPrimary ORCID profile (0009-0005-9566-169X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Wei QuiD1 paper · Shanghai Medical College of Fudan University

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Hideaki Yurino· 1 shared Hiroshi MamitsukaiD· 1 shared Hiroyuki TakedaiD· 1 shared Jonas Korlach· 1 shared Jun MitsuiiD· 1 shared Jun YoshimuraiD· 1 shared Junko Taniguchi· 1 shared Ronghui YouiD· 1 shared

Activity by Year

2015-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Hideaki Yurino

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2 papers

Recent·Most cited

DeepMHCII: A Novel Binding Core-Aware Deep InteractionModel for Accurate MHC II-peptide Binding Affinity Prediction

Ronghui You, Wei Qu, Hiroshi Mamitsuka, Shanfeng Zhu

DeepMHCII improves MHC II-peptide binding affinity prediction by incorporating binding core-aware convolution layers, outperforming existing methods across multiple evaluation settings.

Bioinformatics · Apr 14, 2022Peer-reviewedBioinformatics

Measuring the Landscape of CpG Methylation of Individual Repetitive Elements

Yuta Suzuki, Jonas Korlach, Stephen W. Turner, Tatsuya Tsukahara, Junko Taniguchi, Hideaki Yurino, Wei Qu, Jun Yoshimura, Yuji Takahashi, Jun Mitsui, Shoji Tsuji, Hiroyuki Takeda, Shinichi Morishita

The paper develops an algorithm to measure CpG methylation in repetitive elements using SMRT sequencing, achieving high sensitivity and precision in medaka and human genomes.

bioRxiv · Sep 14, 2015Genomics