Author

Noah Perlmutter

University of California, San Francisco

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Judith F. AshouriiD· 2 shared Steven Yu· 2 shared Alexander B. Carvidi· 1 shared Alexandra L. DegraeveiD· 1 shared Andrew D. PattersoniD· 1 shared Andrew GrossiD· 1 shared Chloe M. Heath· 1 shared Darren S. DumlaoiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersPharmacology & Toxicology

Judith F. AshouriORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The gut microbiome shapes pharmacology and treatment outcomes for a key anti-inflammatory therapy

Vanya Sofia Villa Soto, Alexandra L. Degraeve, Chloe M. Heath, Diego A. Orellana, Erin R. Reilly, Mohana Mukherjee, Jacob G. Brockert, Darren S. Dumlao, Rebecca B. Blank, Noah Perlmutter, Steven Yu, Judith F. Ashouri, José U. Scher, Andrew D. Patterson, Peter James Turnbaugh, Renuka R. Nayak

This study shows that the gut microbiome affects methotrexate pharmacology in mice and contributes to interindividual variation in drug metabolism and treatment outcomes.

bioRxiv · Jun 26, 2025 · PreprintPharmacology & Toxicology

Cross-Tissue Transcriptomic Analysis Leveraging Machine Learning Approaches Identifies New Biomarkers for Rheumatoid Arthritis

Dmitry Rychkov, Jessica A Neely, Tomiko Oskotsky, Steven Yu, Noah Perlmutter, Joanne Nititham, Alexander B. Carvidi, Melissa A. Krueger, Andrew Gross, Lindsey A. Criswell, Judith F. Ashouri, Marina Sirota

This paper identifies 13 biomarkers for rheumatoid arthritis using cross-tissue transcriptomic data and machine learning, validated across multiple datasets and showing clinical utility.

Frontiers in Immunology · Jun 8, 2021Peer-reviewedBioinformatics