Author

Wenyuan Liao

University of CalgaryORCID 0000-0002-6566-9341Unclaimed 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· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Pathum KossinnaiD· 2 shared Qing LiiD· 2 shared Qingrun ZhangiD· 2 shared Yang YuiD· 2 shared Theodore Lun· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Pathum KossinnaORCID

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2 papers

Recent·Most cited

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes

Qing Li, Yang Yu, Pathum Kossinna, Theodore Lun, Wenyuan Liao, Qingrun Zhang

XA4C identifies Critical genes using explainable autoencoders, revealing novel biological insights in cancer gene expression data.

PLoS Computational Biology · Oct 2, 2023Peer-reviewedBioinformatics

Explainable autoencoder-based representation learning for gene expression data

Yang Yu, Pathum Kossinna, Qing Li, Wenyuan Liao, Qingrun Zhang

The paper introduces XAE4Exp, an explainable autoencoder for gene expression data, identifying non-differentially expressed genes and cancer-related pathways using TCGA data.

bioRxiv · Dec 21, 2021 · PreprintBioinformatics