Author

Michael R. Green

The University of Texas MD Anderson Cancer CenterORCID 0000-0003-3017-3298Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Michael R. Green5 papers · The University of Texas MD Anderson Cancer Center

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alan B CooperiD· 1 shared Alexey StukaloviD· 1 shared Ali ElSheikh· 1 shared Haibo LiuiD· 1 shared Han Liu· 1 shared Jerry Yao-Chieh HU· 1 shared Jianhong OuiD· 1 shared Joanna K ChorazeczewskiiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperImmunology

Alan B CooperORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 21, 2026

Harnessing the PRDM1-PGC1A axis to enhance CAR T cell efficacy

Sidney YY Wang, Xiufen Chen, Xubin Li…·Jutin Kline

This study identifies the PRDM1-PGC1A axis as a key regulator of CAR T cell function, showing that inhibiting PRDM1 or activating PGC1A improves CAR T cell efficacy in multiple tumor models.

DOI 10.64898/2026.10.15.759372

humanstatistical model

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BioinformaticsPLoS ONEPeer-reviewedNov 6, 2020

dagLogo: an R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data

Jianhong Ou, Haibo Liu, Niraj K. Nirala…·Lihua Julie Zhu

The paper introduces dagLogo, an R/Bioconductor package for identifying and visualizing differential amino acid group usage in proteomics data, showing improved performance in detecting conserved sequence patterns.

15 citations

proteomicsstatistical model

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