Author

Yan Li

Case Western Reserve UniversityORCID 0000-0002-2091-7313Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yan Li33 papers · National Institutes of Health

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Developmental Biology· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Alan AttieiD· 1 shared Anastasia GoloviniD· 1 shared Appakalai N. BalamuruganiD· 1 shared Bin LiuiD· 1 shared Bing XieiD· 1 shared Bo YangiD· 1 shared Bo ZhouiD· 1 shared Chen FangiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 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

1 shared paperBioinformatics

Alan AttieORCID

Author profile →

3 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedAug 23, 2021

INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

Chenyang Dong, Shane P. Simonett, Sunyoung Shin…·Sündüz Keleş

INFIMA identifies effector genes of GWAS variants by integrating multi-omics data from mice and applying it to diabetes-associated variants.

7 citations

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintSep 28, 2020

Two Color Single Molecule Sequencing on GenoCare 1600 Platform to Facilitate Clinical Applications

Chen Fang, Bin Liu, Meirong Chen…·Qin Yan

The paper presents sequencing data from the GenoCare 1600 platform, demonstrating high accuracy and clinical applicability for microbial and viral samples.

DOI 10.1101/2020.09.28.20203455

𝕏 PostBluesky

Developmental BiologybioRxivPreprintSep 18, 2019

Myt Transcription Factors prevent stress-response gene over-activation to enable postnatal pancreatic β cell proliferation and function

Ruiying Hu, Emily M. Walker, Yanwen Xu…·Guoqiang Gu

This study shows that Myt transcription factors prevent over-activation of stress-response genes in pancreatic β cells, maintaining their function and survival.

1 citation

𝕏 PostBluesky