Author

Yixian Huang

Chinese University of Hong KongORCID 0009-0004-2601-2875Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Lantian YaoiD· 2 shared Jiahui GuaniD· 1 shared Jijun Tang· 1 shared Junwen WangiD· 1 shared Li WeiiD· 1 shared Peilin XieiD· 1 shared Tzong-Yi LeeiD· 1 shared Tzongyi Lee· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Lantian YaoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 8, 2026

Geometry-enhanced protein language modeling enables discovery of novel antibiotic resistance genes

Xingqiao Lin, Jiahui Guan, Yue Hong…·Lantian Yao

GeoARG improves detection of distant antibiotic resistance genes using structural features and protein language models, uncovering 1,485 novel candidates.

DOI 10.64898/2026.04.05.716581

metagenomicsdeep learning

BioinformaticsbioRxivPreprintNov 16, 2022

KBPRNA: A novel method integrating bulk RNA-seq data and LINCS-L1000 gene signatures to predict kinase activity based on machine learning

Yuntian Zhang, Lantian Yao, Yixian Huang…·Tzongyi Lee

KBPRNA predicts kinase activity from bulk RNA-seq data using machine learning, outperforming existing methods in cancer tissue samples.

1 citation

humanbulk RNA-seq