Author

E. M. Gertz

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 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:drug response / drug discovery· 1

Frequent Co-Authors

E. Ruppin· 2 shared A. A. Schäffer· 1 shared B. Gasmi· 1 shared C. C. Harris· 1 shared C. Sahinalp· 1 shared C. Seibert· 1 shared F. Schischlik· 1 shared J. K. Stone· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

E. Ruppin

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2 papers

Recent·Most cited

Cancer BiologybioRxivJul 21, 2020

Predicting cancer prognosis and drug response from the tumor microbiome

L. C. Hermida, E. M. Gertz, E. Ruppin

This study shows that tumor microbial abundances can predict cancer prognosis and drug response, though less effectively than gene expression data.

DOI 10.1038/s41467-022-30512-3

humanbulk RNA-seq

𝕏 PostBluesky

Cancer BiologybioRxivPreprintMay 14, 2020

scRNA-seq analysis of colon and esophageal tumors uncovers abundant microbial reads in myeloid cells undergoing proinflammatory transcriptional alterations

W. Robinson, J. K. Stone, F. Schischlik…·E. Ruppin

The paper develops a computational pipeline to identify microbial reads in scRNA-seq data and finds that microbial reads are enriched in myeloid cells with proinflammatory transcriptional changes.

DOI 10.1101/2020.05.14.096230

𝕏 PostBluesky