Author

Tony C Pan

Georgia Institute of TechnologyORCID 0000-0001-7945-6534Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1

Frequent Co-Authors

Maneesha R. AluruiD· 2 shared Sriram P. ChockalingamiD· 2 shared Erin C. Connolly· 1 shared Erting TangiD· 1 shared Greg C. GibsoniD· 1 shared Guoshuai CaoiD· 1 shared Jun HuangiD· 1 shared Pablo Penaloza‐MacMasteriD· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Maneesha R. AluruORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 15, 2023

Acceleration of Large-Scale Single Cell Differential Gene Expression Analysis with FastDE

Erin C. Connolly, Maneesha R. Aluru, Sriram P. Chockalingam…·Tony C Pan

FastDE accelerates differential gene expression analysis in single-cell data by 50X, replicating age and gender effects on immune cell differentiation in PBMC atlases.

DOI 10.1101/2023.06.15.545003

humanscRNA-seq

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BioinformaticsBioinformaticsPeer-reviewedJun 1, 2023

MCPNet : A parallel maximum capacity-based genome-scale gene network construction framework

Tony C Pan, Sriram P. Chockalingam, Maneesha R. Aluru, Srinivas Aluru

MCPNet constructs high-quality gene networks efficiently and scalably using a novel maximum-capacity-path metric, outperforming existing methods in speed and accuracy.

1 citation

yeastplant (other)

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BioinformaticsbioRxivPreprintJan 10, 2022

A single-cell atlas reveals shared and distinct immune responses and metabolism during SARS-CoV-2 and HIV-1 infections

Tony C Pan, Guoshuai Cao, Erting Tang…·Jun Huang

This study compares immune responses and metabolism in SARS-CoV-2 and HIV-1 infections using single-cell transcriptomics, identifying shared and distinct features in 94,442 PBMCs from 16 patients.

3 citations

humanscRNA-seq

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