Author

Birgit Schoeberl

Merrimack Pharmaceuticals (United States)ORCID 0000-0002-1990-5315Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Andreas RaueiD· 2 shared Gavin MacBeathiD· 2 shared Edda KlippiD· 1 shared Emily A. PaceiD· 1 shared Helge HassiD· 1 shared Jens TimmeriD· 1 shared Jinyan Du· 1 shared John E. AlleniD· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Andreas RaueORCID

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2 papers

Recent·Most cited

Estimation of immune cell content in tumour tissue using single-cell RNA-seq data

Max Schelker, Sonia Feau, Jinyan Du, Nav Ranu, Edda Klipp, Gavin MacBeath, Birgit Schoeberl, Andreas Raue

This paper estimates immune cell content in tumour tissue using single-cell RNA-seq data and demonstrates the importance of tumour-derived reference gene expression profiles for accurate deconvolution.

Nature Communications · Dec 5, 2017Peer-reviewedBioinformatics

Predicting Ligand-Dependent Tumors From Multi-Dimensional Signaling Features

Helge Hass, Kristina Masson, Sibylle Wohlgemuth, Violette B. Paragas, John E. Allen, Mark Sevecka, Emily A. Pace, Jens Timmer, Jörg Stelling, Gavin MacBeath, Birgit Schoeberl, Andreas Raue

The paper predicts ligand-dependent tumor growth in cell lines and patient samples using a mechanistic signaling model and Bagged Decision Trees, finding a correlation between growth factor expression and predicted response.

npj Systems Biology and Applications · Sep 14, 2017Peer-reviewedSystems Biology