Author

Joske Ubels

Utrecht UniversityORCID 0000-0002-1057-5225Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

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Amin AllahyariD· 1 shared Jeroen de RidderiD· 1 shared

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2019-2019 · peak 1/yr

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Amin AllahyarORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedFeb 6, 2019

A data-driven interactome of synergistic genes improves network based cancer outcome prediction

Amin Allahyar, Joske Ubels, Jeroen de Ridder

This paper introduces SyNet, a data-driven gene network derived from synergistic gene pairs that improves cancer outcome prediction compared to existing networks.

23 citations

humanbulk RNA-seq

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