Author

Hui Chong

Huazhong University of Science and TechnologyORCID 0000-0002-7676-7975Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 3 Research Focus:database / resource· 3 Assay:metagenomics· 3 Research Focus:software / tool· 3 Approach:deep learning· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Kang NingiD· 3 shared Kai KangiD· 2 shared Yuguo ZhaiD· 2 shared Chuqing SuniD· 1 shared Guangzhou XiongiD· 1 shared Hao Qiu· 1 shared Luis Pedro CoelhoiD· 1 shared Nan WangiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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

3 shared papersBioinformatics

Kang NingORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsGenome MedicinePeer-reviewedApr 26, 2022

Ontology-Aware Deep Learning Enables Ultrafast, Accurate and Interpretable Source Tracking among Sub-Million Microbial Community Samples from Hundreds of Niches

Yuguo Zha, Hui Chong, Hao Qiu…·Kang Ning

This paper introduces ONN4MST, a deep learning method for microbial source tracking that achieves high accuracy and speed across large datasets of microbial communities.

31 citations

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 29, 2021

EXPERT: Transfer Learning-enabled context-aware microbial source tracking

Hui Chong, Qingyang Yu, Yuguo Zha…·Kang Ning

EXPERT uses transfer learning to improve microbial source tracking, showing better efficiency and accuracy in tracking gut microbiome changes in infants and colorectal cancer patients.

4 citations

humanmetagenomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 17, 2020

Meta-Prism 2.0: Enabling algorithm for ultra-fast, accurate and memory-efficient search among millions of microbial community samples

Kai Kang, Hui Chong, Kang Ning

DOI 10.1101/2020.11.17.387811

metagenomicsstatistical model

𝕏 PostBluesky