Author

R. Sallari

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:whole-genome sequencing· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Hobolth· 1 shared C. Curtis· 1 shared H. Hornshoj· 1 shared J. A. Seoane· 1 shared J. K. Pritchard· 1 shared J. S. Pedersen· 1 shared M. J. Rasmussen· 1 shared M. Kellis· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Hobolth

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Author profile →

2 papers

Recent·Most cited

Convergent mutations in tissue-specific regulatory regions reveal novel cancer drivers

N. Sinnott-Armstrong, J. A. Seoane, R. Sallari, J. K. Pritchard, C. Curtis, M. P. Snyder

This study identifies non-coding cancer drivers by analyzing convergent mutations in tissue-specific regulatory regions across multiple cancer types, finding several genes associated with survival.

bioRxiv · Aug 21, 2020 · PreprintCancer Biology

Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

H. Hornshoj, M. M. Nielsen, N. A. Sinnott-Armstrong, M. P. Switnicki, M. J. Rasmussen, T. Madsen, R. Sallari, M. Kellis, T. Orntoft, A. Hobolth, J. S. Pedersen

The paper identifies non-coding mutations associated with cancer by analyzing conservation, mutational patterns, and correlations with gene expression and survival across multiple cancer types.

bioRxiv · Aug 30, 2017Cancer Biology