Author

Chi-Man Liu

University of Hong Kong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Approach:large language model· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Ruibang LuoiD· 3 shared Tak‐Wah LamiD· 3 shared Amy Wing-Sze LeungiD· 1 shared Bin YaniD· 1 shared Chak-Lim Wong· 1 shared Chi-Ian Tang· 1 shared Chi-Ming Leung· 1 shared Henry C. M. Leung· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Ruibang LuoORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

AutoPM3: Enhancing Variant Interpretation via LLM-driven PM3 Evidence Extraction from Scientific Literature

Shumin Li, Yiding Wang, Chi-Man Liu, Yuanhua Huang, Tak‐Wah Lam, Ruibang Luo

AutoPM3 automates PM3 evidence extraction from scientific literature using LLMs, improving variant interpretation for rare diseases.

Bioinformatics · Jun 28, 2025Peer-reviewedBioinformatics

HKG: An open genetic variant database of 205 Hong Kong Cantonese exomes

Min Ou, Henry C. M. Leung, Amy Wing-Sze Leung, Ho‐Ming Luk, Bin Yan, Chi-Man Liu, Tony M F Tong, Myth T.S. Mok, Wallace Ming-Yuen Ko, Wai-Chun Law, Tak‐Wah Lam, Ivan F. M. Lo, Ruibang Luo

HKG is a variant database of 205 Hong Kong Cantonese exomes that fills a gap in southern Chinese genetics, showing unique variants and improving variant imputation.

NAR Genomics and Bioinformatics · Jan 13, 2022Peer-reviewedBioinformatics

Clair: Exploring the limit of using a deep neural network on pileup data for germline variant calling

Ruibang Luo, Chak-Lim Wong, Yat-Sing Wong, Chi-Ian Tang, Chi-Man Liu, Chi-Ming Leung, Tak‐Wah Lam

Clair is a germline small variant caller using single-molecule sequencing data that achieves high precision, recall, and speed, approaching the accuracy limit for pileup-based deep learning methods.

Nature Machine Intelligence · Apr 6, 2020Peer-reviewedBioinformatics