Author

Maryclare Griffith

University of Massachusetts Amherst

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

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander GuseviD· 1 shared Alexander N. Shoushtari· 1 shared Alexander PaniD· 1 shared Catherine H. FengiD· 1 shared Chi‐Ping DayiD· 1 shared Daniel LeeiD· 1 shared David LiuiD· 1 shared Frank Stephen HodiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Alexander GusevORCID

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1 paper

Recent·Most cited

Clinico-genomic features predict distinct metastatic phenotypes in cutaneous melanoma

Tyler J. Aprati, Chi‐Ping Day, Daniel Lee, Alexander Pan, Justin Jee, Giuseppe Tarantino, Micheal P. Manos, Hannah Mae Faulkner, Marta M. Holovatska, Karam Khaddour, Catherine H. Feng, Kelly P. Burke, Marc Glettig, Zoë Weaver Ohler, Rajaâ El Meskini, , David Liu

This study identifies distinct metastatic phenotypes in cutaneous melanoma using clinico-genomic data and machine learning, linking specific mutations and clinical factors to organ-specific metastasis.

bioRxiv · Jan 24, 2025 · PreprintCancer Biology