Author

Lyra M. Griffiths

Emory University

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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Cancer Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1

Frequent Co-Authors

Beisi XuiD· 1 shared Daniel K. PutnamiD· 1 shared Dianna A. Johnson· 1 shared E. Aubrey ThompsoniD· 1 shared Eugene F. DouglassiD· 1 shared Issam AldiriiD· 1 shared Jacqueline L. NorrieiD· 1 shared Jane Lowe MeiseliD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Beisi XuORCID

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Author profile →

2 papers

Recent·Most cited

Spatial Logic Reconciles Gene-signature Methods in Triple Negative Breast Cancer

William C Bastian, Jane Lowe Meisel, Ji‐Hoon Lee, Nada Shaker, Lyra M. Griffiths, Meili Aiello, Zachary S. Buchwald, Yi Liu, E. Aubrey Thompson, Zaibo Li, Eugene F. Douglass, Xiaoxian Li

This study compares immune cell deconvolution and cancer subtype gene signatures in TNBC, finding that immune aggregates better predict outcomes than subtype signatures.

bioRxiv · Aug 18, 2026 · PreprintCancer Biology

The Nucleome of Developing Murine Rod Photoreceptors

Issam Aldiri, Marc B. Valentine, Beisi Xu, Daniel K. Putnam, Lyra M. Griffiths, Marybeth S. Lupo, Jacqueline L. Norrie, Jiakun Zhang, Dianna A. Johnson, John B. Easton, Ying Shao, Victoria Honnell, Sharon Frase, Shondra Miller, Valerie Stewart, , Michael A. Dyer

The paper studies the chromatin structure of rod photoreceptors in mice using Hi-C and machine learning to identify regulatory elements involved in retinal development.

bioRxiv · Jul 29, 2018 · PreprintNeuroscience