Author

Xun Liu

Sun Yat-sen UniversityORCID 0000-0002-2360-1429Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xun Liu2 papers · Hunan University

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Yuedong YangiD· 2 shared Yutian ChongiD· 2 shared Yutong LuiD· 2 shared Zifeng LiuiD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Huiying ZhaoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsIEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewedDec 9, 2021

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…·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.

DOI 10.1109/bibm52615.2021.9669388

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedDec 4, 2019

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

Sheng Chen, Zhe Sun, Lihua Lin…·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.

51 citations

protein sequencedeep learning

𝕏 PostBluesky