Author

Rajan Douglas Maynard

Stanford Medicine

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

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Fereshteh JahanbaniiD· 2 shared Andrew GrimsoniD· 1 shared David Shing Huk IuiD· 1 shared Durga Devi Thota· 1 shared Faraz AhmediD· 1 shared Han LiiD· 1 shared Jennifer K. GrenieriD· 1 shared Johnathan Cooper‐KnockiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Fereshteh JahanbaniORCID

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2 papers

Recent·Most cited

Dynamic Quantum Clustering of Glioma RNA-seq Reveals Interpretable Tumor States Linked to Diagnosis and Survival

Fereshteh Jahanbani, Rajan Douglas Maynard, Steven J. Schrodi, Marvin Weinstein

The paper applies Dynamic Quantum Clustering to glioma RNA-seq data to identify tumor states linked to diagnosis and survival without using clinical labels.

medRxiv · Aug 19, 2026 · PreprintGenetic & Genomic Medicine

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis

Sai Zhang, Fereshteh Jahanbani, Varuna Chander, Martin Kjellberg, Menghui Liu, Katherine A. Glass, David Shing Huk Iu, Faraz Ahmed, Han Li, Rajan Douglas Maynard, Tristan Chou, Johnathan Cooper‐Knock, Martin Jinye Zhang, Durga Devi Thota, Michael Zeineh, , Michael P. Snyder

This study uses a deep learning framework to analyze whole-genome data from ME/CFS patients, identifying risk genes and linking them to disease symptoms and other complex traits.

medRxiv · Apr 15, 2025 · PreprintGenetic & Genomic Medicine