Author

Albert G. Tsai

Stanford MedicineORCID 0000-0002-6607-3347Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Inna AverbukhiD· 2 shared Meelad AmouzgariD· 2 shared Sean C. BendalliD· 2 shared Alex KongiD· 1 shared Benjamin Oberlton· 1 shared Cameron Sowers· 1 shared Candace C. LiuiD· 1 shared Christine Camacho FullawayiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCancer Biology

Inna AverbukhORCID

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2 papers

Recent·Most cited

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence

Hadeesha Piyadasa, Benjamin Oberlton, Mikaela K. Ribi, Ke Xuan Leow, Jolene S. Ranek, Inna Averbukh, Meelad Amouzgar, Candace C. Liu, Davide G. Franchina, Noah F. Greenwald, Erin McCaffrey, Rashmi Kumar, Selena Ferrian, Albert G. Tsai, Ferda Filiz, , Michael Angelo

This study analyzes multi-omic data from gliomas to identify therapeutic escape mechanisms and TME evolution, finding that N-glycosylation classifies tumor grade and immune transcriptome predicts GBM survival.

Cancer Cell · Dec 11, 2025Peer-reviewedCancer Biology

Supervised dimensionality reduction for exploration of single-cell data by Hybrid Subset Selection - Linear Discriminant Analysis

Meelad Amouzgar, David Richard Glass, Reema Baskar, Inna Averbukh, Samuel C. Kimmey, Albert G. Tsai, Felix J. Hartmann, Sean C. Bendall

This paper introduces a supervised dimensionality reduction method using hybrid subset selection with linear discriminant analysis to improve visualization and analysis of single-cell data.

Patterns · Jun 24, 2022Peer-reviewedBioinformatics