Publications by authors named "Zengchao Mu"

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TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network.
Sheng Long, Xiaoran Tang, Xinyi Si, Tongxin Kong, Yanhao Zhu, Zengchao Mu

Commun Biol· August 2024

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ACPred-BMF: bidirectional LSTM with multiple feature representations for explainable anticancer peptide prediction.
Bingqing Han, Nan Zhao, Chengshi Zeng, Zengchao Mu, Xinqi Gong

Sci Rep· December 2022

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ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.
Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei

Bioinformatics· March 2022

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Consensus-based clustering of single cells by reconstructing cell-to-cell dissimilarity.
Chunxiang Wang, Zengchao Mu, Chaozhou Mou, Hongyu Zheng, Juntao Liu

Brief Bioinform· January 2022

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TransRef enables accurate transcriptome assembly by redefining accurate neo-splicing graphs.
Ting Yu, Renmin Han, Zhaoyuan Fang, Zengchao Mu, Hongyu Zheng

Brief Bioinform· November 2021

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Identification of HCC-Related Genes Based on Differential Partial Correlation Network.
Yuyao Gao, Xiao Chang, Jie Xia, Shaoyan Sun, Zengchao Mu

Front Genet· July 2021

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FEGS: a novel feature extraction model for protein sequences and its applications.
Zengchao Mu, Ting Yu, Xiaoping Liu, Hongyu Zheng, Leyi Wei

BMC Bioinformatics· June 2021

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TransBorrow: genome-guided transcriptome assembly by borrowing assemblies from different assemblers.
Ting Yu, Zengchao Mu, Zhaoyuan Fang, Xiaoping Liu, Xin Gao

Genome Res· August 2020

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DCGR: feature extractions from protein sequences based on CGR via remodeling multiple information.
Zengchao Mu, Ting Yu, Enfeng Qi, Juntao Liu, Guojun Li

BMC Bioinformatics· June 2019

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TransLiG: a de novo transcriptome assembler that uses line graph iteration.
Juntao Liu, Ting Yu, Zengchao Mu, Guojun Li

Genome Biol· April 2019

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Predicting nucleosome positioning based on geometrically transformed Tsallis entropy.
Jing Wu, Yusen Zhang, Zengchao Mu

PLoS One· July 2015

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