Author

Liang Lan

Hong Kong Baptist UniversityORCID 0000-0002-0427-977XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aiping LüiD· 2 shared Chaochao Zheng· 1 shared ChinWang Cheong· 1 shared Daogang GuaniD· 1 shared Debajyoti ChowdhuryiD· 1 shared Hailong ZhuiD· 1 shared Hiu Fung YipiD· 1 shared Jiaxing CheniD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Aiping LüORCID

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2 papers

Recent·Most cited

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, Yujie Liu, Yao Gao, Liang Lan, Chaochao Zheng, Daogang Guan, Kei Fong Lam, Hailong Zhu, Xue‐Cheng Tai, 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.

bioRxiv · Apr 11, 2022 · PreprintBioinformatics

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data

Jiaxing Chen, ChinWang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lü, William K. Cheung, Lu Zhang

DeepDRIM is a deep neural network that reconstructs cell-type-specific gene regulatory networks from single-cell RNA-seq data, outperforming existing methods and distinguishing functional modules in COVID-19 patients.

Briefings in Bioinformatics · Jul 26, 2021Peer-reviewedBioinformatics