Author

Yue Li

Carnegie Mellon UniversityORCID 0000-0002-7727-905XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yue Li14 papers · University of Maryland, College Park

Biology Disciplines

Click to filter author papers

Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:scRNA-seq· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:imputation· 1 Organism:mouse· 1

Frequent Co-Authors

Kathryn RoederiD· 2 shared Alicia LjungdahliD· 1 shared Brie WamsleyiD· 1 shared Chimmi DemaiD· 1 shared David Matthew YoungiD· 1 shared Hao GeiD· 1 shared Hongyu ZhaoiD· 1 shared Kexuan Liang· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 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 papersGenomics

Kathryn RoederORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

GenomicsbioRxivPreprintMay 14, 2026

Spatiotemporal analysis of autism gene enrichment implicates cortex, thalamus, and hypothalamus

Xuran Wang, Yue Li, David Matthew Young…·Stephan J Sanders

The paper uses STARMAPS to analyze single-cell RNA sequencing data and identifies spatial and temporal patterns of ASD-associated gene enrichment in specific brain regions.

1 citation

𝕏 PostBluesky

GenomicsbioRxivPreprintAug 31, 2020

cFIT: Integration and transfer learning of single cell transcriptomes, illustrated by fetal brain cell development

Minshi Peng, Yue Li, Brie Wamsley…·Kathryn Roeder

cFIT integrates and transfers single-cell transcriptomes across species and technologies, revealing transcriptional similarities in fetal brain development.

1 citation

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 12, 2019

SCRIBE: a new approach to dropout imputation and batch effects correction for single-cell RNA-seq data

Yiliang Zhang, Kexuan Liang, Molei Liu…·Hongyu Zhao

SCRIBE imputes dropout events and corrects batch effects in scRNA-seq data, improving recovery of cell-specific gene expression and biological variation.

3 citations

scRNA-seqstatistical model

𝕏 PostBluesky