M
Michael T. Schaub
Researcher at RWTH Aachen University
Publications - 94
Citations - 4068
Michael T. Schaub is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Computer science & Complex network. The author has an hindex of 25, co-authored 79 publications receiving 2731 citations. Previous affiliations of Michael T. Schaub include Imperial College London & Université catholique de Louvain.
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Journal ArticleDOI
SC3: consensus clustering of single-cell RNA-seq data
Vladimir Yu. Kiselev,Kristina Kirschner,Michael T. Schaub,Michael T. Schaub,Tallulah S. Andrews,Andrew Yiu,Tamir Chandra,Tamir Chandra,Kedar Nath Natarajan,Kedar Nath Natarajan,Wolf Reik,Wolf Reik,Wolf Reik,Mauricio Barahona,Anthony R. Green,Martin Hemberg +15 more
TL;DR: It is demonstrated that SC3 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patients and achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach.
Journal ArticleDOI
Simplicial closure and higher-order link prediction
Austin R. Benson,Rediet Abebe,Michael T. Schaub,Michael T. Schaub,Ali Jadbabaie,Jon Kleinberg +5 more
TL;DR: It is shown that there is a rich variety of structure in the authors' datasets but datasets from the same system types have consistent patterns of higher-order structure, and it is found that tie strength and edge density are competing positive indicators ofhigher-order organization.
Posted ContentDOI
SC3 consensus clustering of singlecell RNASeq data
Vladimir Yu. Kiselev,Kristina Kirschner,Michael T. Schaub,Tallulah S. Andrews,Tamir Chandra,Kedar Nath Natarajan,Wolf Reik,Mauricio Barahona,Anthony R. Green,Martin Hemberg +9 more
TL;DR: Single-Cell Consensus Clustering (SC3), a tool for unsupervised clustering of scRNA-seq data, achieves high accuracy and robustness by consistently integrating different clustering solutions through a consensus approach.
Journal ArticleDOI
Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian
TL;DR: In this article, simplicial complexes extend this dyadic model of graphs to polyadic re-consistencies, which is a ubiquitous framework for studying complex systems and data, using graphs to model pairwise relationships between entities.
Journal ArticleDOI
Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit.
TL;DR: This work shows that long-range communities escape detection by popular methods, which are blinded by a restricted ‘field-of-view’ limit, an intrinsic upper scale on the communities they can detect, and adopts a dynamical perspective towards community detection.