Author

Guo Liang Gan

Simon Fraser University

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· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Brian Lee· 1 shared Cédric ChauveiD· 1 shared Elijah WillieiD· 1 shared Leonid ChindelevitchiD· 1 shared Matthew H. NguyeniD· 1 shared Maxwell W. LibbrechtiD· 1 shared Mohammad H. Rezaie· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Brian Lee

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1 paper

Recent·Most cited

Geographic heterogeneity impacts drug resistance predictions in Mycobacterium tuberculosis

Guo Liang Gan, Matthew H. Nguyen, Elijah Willie, Mohammad H. Rezaie, Brian Lee, Cédric Chauve, Maxwell W. Libbrecht, Leonid Chindelevitch

This study uses machine learning on whole-genome sequencing data from multiple geographic regions to predict drug resistance in Mycobacterium tuberculosis, finding that performance varies across datasets due to geographical heterogeneity.

bioRxiv · Sep 17, 2020 · PreprintBioinformatics