Author

Nicola Keller

University of Basel

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Daniel Johannes StekhoveniD· 1 shared Elai DavicioniiD· 1 shared Ewan A. GibbiD· 1 shared Franziska SingeriD· 1 shared Friedemann Krentel· 1 shared María L. Rosano-GonzáleziD· 1 shared Marianna Kruithof-de JulioiD· 1 shared Roland SeileriD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Daniel Johannes StekhovenORCID

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1 paper

Recent·Most cited

Personalized in-silico drug response prediction based on the genetic landscape of muscle-invasive bladder cancer

Friedemann Krentel, Franziska Singer, María L. Rosano-González, Ewan A. Gibb, Yang Liu, Elai Davicioni, Nicola Keller, Daniel Johannes Stekhoven, Marianna Kruithof-de Julio, Roland Seiler

The paper presents an automated workflow for in-silico drug response prediction in bladder cancer using multi-omic profiles, identifying personalized treatment options for most patients.

bioRxiv · May 22, 2020 · PreprintBioinformatics