Author

Zifeng Liu

Sun Yat-sen UniversityORCID 0000-0002-1392-8698Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Huiying ZhaoiD· 2 shared Xun LiuiD· 2 shared Yuedong YangiD· 2 shared Yutian ChongiD· 2 shared Yutong LuiD· 2 shared Haoyang ZhangiD· 1 shared Junkang WeiiD· 1 shared Lihua LiniD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Huiying ZhaoORCID

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2 papers

Recent·Most cited

DGAT-onco: A powerful method to detect oncogenes by integrating differential mutational analysis and functional impacts of somatic mutations

Haoyang Zhang, Junkang Wei, Zifeng Liu, Xun Liu, Yutian Chong, Yutong Lu, Huiying Zhao, Yuedong Yang

DGAT-onco detects oncogenes by integrating differential mutational analysis and functional impacts of somatic mutations, identifying 22.8% of its results as verified oncogenes.

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · Dec 9, 2021Peer-reviewedBioinformatics

To Improve Protein Sequence Profile Prediction through Image Captioning on Pairwise Residue Distance Map

Sheng Chen, Zhe Sun, Lihua Lin, Zifeng Liu, Xun Liu, Yutian Chong, Yutong Lu, Huiying Zhao, Yuedong Yang

This paper introduces SPROF, a method using 2D pairwise residue distance maps and image captioning to predict protein sequence profiles, achieving a 5.2% improvement over SPIN2.

Journal of Chemical Information and Modeling · Dec 4, 2019Peer-reviewedBioinformatics