Author

Jack Chung-Kai Yu

Chinese Academy of SciencesORCID 0000-0002-0298-0044Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Jack Chung-Kai Yu9 papers · Augusta University

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Jiawang TaoiD· 1 shared Masayoshi NakamotoiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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

Jiawang TaoORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 17, 2022

AGEAS: Automated Machine Learning based Genetic Regulatory Element Extraction System

Masayoshi Nakamoto, Jiawang Tao, Jack Chung-Kai Yu

AGEAS extracts gene regulatory elements and reconstructs gene regulatory networks using semi-supervised AutoML, demonstrating effectiveness across diverse biological phenomena.

DOI 10.1101/2022.02.17.480852

scRNA-seqmachine learning (classical)

𝕏 PostBluesky