Author

S. Lippman

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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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Castro· 1 shared H. Carter· 1 shared J. Kong· 1 shared K. Tanaka· 1 shared K.-H. Lee· 1 shared M. J. Zanetti· 1 shared M. Pagadala· 1 shared T. J. Sears· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperCancer Biology

A. Castro

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1 paper

Recent·Most cited

Integrated germline and somatic features reveal divergent immune pathways driving ICB response

T. J. Sears, M. Pagadala, A. Castro, K.-H. Lee, J. Kong, K. Tanaka, S. Lippman, M. J. Zanetti, H. Carter

This paper uses machine learning to predict ICB response by integrating germline and somatic features, revealing differences in immune pathways and clinical outcomes between MHC-I and MHC-II neoantigen reliant tumors.

bioRxiv · Jan 12, 2024 · PreprintCancer Biology