Author

Eve Byington

Columbia UniversityORCID 0000-0001-5624-9073Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Haicang ZhangiD· 1 shared Samuel L. BruceiD· 1 shared Siying CheniD· 1 shared Xueya ZhouiD· 1 shared Yufeng SheniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 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 paperGenomics

Haicang ZhangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

GenomicsbioRxivPreprintJun 15, 2020

Dissecting Autism Genetic Risk Using Single-cell RNA-seq Data

Siying Chen, Xueya Zhou, Eve Byington…·Yufeng Shen

The paper uses single-cell RNA-seq data to develop a machine learning method called A-risk to prioritize autism risk genes, identifying 71 candidates including new ones like CLCN4, PRKAR1B, and NR2F1.

6 citations

humanscRNA-seq

𝕏 PostBluesky