Author

U. Rubin

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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Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:behavioral assay· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Chen· 1 shared A. J. Levine· 1 shared A. J. Obaya· 1 shared B. A. Pataki· 1 shared C. Espino· 1 shared C. McDaniel· 1 shared D. Brunner· 1 shared D. Li· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioengineering

A. Chen

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Identification of Relevant Genetic Alterations in Cancer using Topological Data Analysis

R. Rabadan, Y. Mohamedi, U. Rubin, T. Chu, O. Elliott, L. Arnes, S. Cal, A. J. Obaya, A. J. Levine, P. G. Camara

This study identifies 38 candidate cancer-associated genes using topological data analysis integrated with somatic mutations and RNA expression data across 12 tumor types.

bioRxiv · Jan 30, 2020Cancer Biology

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge

S. K. Sieberts, J. Schaff, M. Duda, B. A. Pataki, M. Sun, P. Snyder, J.-F. Daneault, F. Parisi, G. Costante, U. Rubin, P. Banda, Y. Chae, E. C. Neto, R. Dorsey, Z. Aydın, , Omberg

The paper evaluates digital biomarkers from wearable data to predict Parkinson's disease status and symptom severity using a crowdsourced challenge.

bioRxiv · Jan 13, 2020Bioengineering