Author

Michael T. Schaub

Primary ORCID profile (0000-0003-2426-6404 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Michael T. SchaubiD4 papers · RWTH Aachen University

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Mauricio BarahonaiD· 2 shared Andrew YiuiD· 1 shared Anthony R Green· 1 shared Benjamin R. C. Amor· 1 shared Kedar N Natarajan· 1 shared Kristina KirschneriD· 1 shared Martin HembergiD· 1 shared Sophia N. YalirakiiD· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Mauricio BarahonaORCID

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Author profile →

2 papers

Recent·Most cited

SC3 - consensus clustering of single-cell RNA-Seq data

Vladimir Yu. Kiselev, Kristina Kirschner, Michael T. Schaub, Tallulah Andrews, Andrew Yiu, Tamir Chandra, Kedar N Natarajan, Wolf Reik, Mauricio Barahona, Anthony R Green, Martin Hemberg

SC3 improves scRNA-seq clustering by integrating multiple methods, outperforming existing tools on twelve datasets and analyzing 44,808 cells.

bioRxiv · Sep 2, 2016Bioinformatics

Prediction of allosteric sites and mediating interactions through bond-to-bond propensities

Benjamin R. C. Amor, Michael T. Schaub, Sophia N. Yaliraki, Mauricio Barahona

The paper introduces a graph-theoretical method to predict allosteric sites and their mediating interactions by analyzing bond-to-bond propensities in proteins.

bioRxiv · May 31, 2016Molecular Biology