Author

Matthew R. Nagy

Boston Children's HospitalORCID 0000-0001-5087-6674Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Binbin WangiD· 1 shared Chi‐Ping DayiD· 1 shared Di WuiD· 1 shared Eytan RuppiniD· 1 shared Ingrid FerreiraiD· 1 shared Kun WangiD· 1 shared Padma Sheila RajagopaliD· 1 shared Rebecca D. PollardiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Binbin WangORCID

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2 papers

Recent·Most cited

BioinformaticsCancer Research CommunicationsPeer-reviewedSep 3, 2026

Optimizing transcriptome-based synthetic lethality predictions to improve targeted therapy / immunotherapy treatment prioritization in non-metastatic breast cancer: BC-SELECT

Yewon Kim, Matthew R. Nagy, Rebecca D. Pollard, Padma Sheila Rajagopal

BC-SELECT predicts treatment response in non-metastatic breast cancer using genetic interactions and gene expression data, showing significant accuracy for PARP inhibitors and immunotherapy.

DOI 10.1158/2767-9764.crc-26-0401

humanbulk RNA-seq

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BioinformaticsNature CommunicationsPeer-reviewedOct 14, 2024

Deactivation of ligand-receptor interactions enhancing lymphocyte infiltration drives melanoma resistance to Immune Checkpoint Blockade

Sahil Sahni, Binbin Wang, Di Wu…·Eytan Ruppin

The paper identifies resistance-deactivated interactions (RDIs) as predictive biomarkers for ICB response in melanoma by analyzing transcriptomics data from multiple cohorts.

13 citations

humanbulk RNA-seq

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