Author

Zhaomin Yu

Qingdao University of Science and TechnologyORCID 0000-0002-7310-7963Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 2 Organism:yeast· 2 Organism:Arabidopsis· 1 Organism:bacteria (other)· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:protein sequence· 1

Frequent Co-Authors

Bin YuiD· 2 shared Anjun MaiD· 1 shared Baoguang Tian· 1 shared Bingqiang LiuiD· 1 shared Cheng CheniD· 1 shared Qin MaiD· 1 shared Xiaolin WangiD· 1 shared Yaning LiuiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 20 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

Bin YuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsExpert Systems with ApplicationsPeer-reviewedMar 10, 2021

Prediction of protein-protein interactions based on elastic net and deep forest

Bin Yu, Cheng Chen, Xiaolin Wang…·Bingqiang Liu

This paper introduces a deep forest-based method for predicting protein-protein interactions, achieving high accuracy in yeast and Helicobacter pylori and improving drug discovery.

86 citationstop 3%

yeastbacteria (other)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 23, 2020

StackRAM: a cross-species method for identifying RNA N6-methyladenosine sites based on stacked ensemble

Zhaomin Yu, Baoguang Tian, Yaning Liu…·Bin Yu

StackRAM is a cross-species method for identifying m6A sites using machine learning, achieving high accuracy in yeast, human, and Arabidopsis.

2 citations

yeasthuman

𝕏 PostBluesky