Author

Xue‐Cheng Tai

Hong Kong Baptist UniversityORCID 0000-0003-3359-9104Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Aiping LüiD· 2 shared Debajyoti ChowdhuryiD· 2 shared Hiu Fung YipiD· 2 shared Chaochao Zheng· 1 shared Daogang GuaniD· 1 shared Gro FonnesiD· 1 shared Hailong ZhuiD· 1 shared Hao LiuiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersSystems Biology

Aiping LüORCID

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3 papers

Recent·Most cited

BiophysicsbioRxivPreprintApr 11, 2025

Learning and predicting fishing activities from AIS data

Klaus Johannsen, Xue‐Cheng Tai, Gro Fonnes, Junyong You

This study uses AIS and Catch Report data with advanced processing to detect fishing activities, achieving 92-93.7% accuracy in classification.

2 citations

machine learning (classical)deep learning

𝕏 PostBluesky

Systems BiologybioRxivPreprintFeb 28, 2023

An explainable artificial intelligence-based typification of chronic inflammatory responses enhances glioma prognosis

Debajyoti Chowdhury, Hiu Fung Yip, Zeming Li…·Aiping Lü

This study uses an explainable AI model to classify chronic inflammatory responses as prognostic markers for glioma using TCGA data, identifying five inflammatory profiles linked to survival outcomes.

DOI 10.1101/2023.02.28.530381

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintApr 11, 2022

ReDisX: a Continuous Max Flow-based framework to redefine the diagnosis of diseases based on identified patterns of genomic signatures

Hiu Fung Yip, Debajyoti Chowdhury, Kexin Wang…·Aiping Lü

ReDisX redefines disease diagnosis by classifying patients based on genomic signatures, revealing disease subpopulations and identifying GZMB as a potential drug repurposing marker.

DOI 10.1101/2022.04.11.487592

humanwhole-genome sequencing

𝕏 PostBluesky