T
Thomas Abeel
Researcher at Delft University of Technology
Publications - 96
Citations - 10940
Thomas Abeel is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 27, co-authored 81 publications receiving 8039 citations. Previous affiliations of Thomas Abeel include Ghent University & Flanders Institute for Biotechnology.
Papers
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Journal ArticleDOI
Pilon: An Integrated Tool for Comprehensive Microbial Variant Detection and Genome Assembly Improvement
Bruce J. Walker,Thomas Abeel,Terrance Shea,Margaret Priest,Amr Abouelliel,Sharadha Sakthikumar,Christina A. Cuomo,Qiandong Zeng,Jennifer R. Wortman,Sarah Young,Ashlee M. Earl +10 more
TL;DR: Pilon is a fully automated, all-in-one tool for correcting draft assemblies and calling sequence variants of multiple sizes, including very large insertions and deletions, which is being used to improve the assemblies of thousands of new genomes and to identify variants from thousands of clinically relevant bacterial strains.
Book ChapterDOI
Robust Feature Selection Using Ensemble Feature Selection Techniques
TL;DR: It is shown that ensemble feature selection techniques show great promise for high-dimensional domains with small sample sizes, and provide more robust feature subsets than a single feature selection technique.
Journal ArticleDOI
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
TL;DR: Saeys et al. as discussed by the authors proposed a large-scale analysis of ensemble feature selection, where multiple feature selections are combined in order to increase the robustness of the final set of selected features.
Robust biomarker identification for cancer diagnosis using ensemble feature selection methods
TL;DR: It is shown that the robustness of SVMs for biomarker discovery can be substantially increased by using ensemble feature selection techniques, while at the same time improving upon classification performances.
Journal ArticleDOI
The Mycobacterium tuberculosis regulatory network and hypoxia.
James E. Galagan,Kyle J. Minch,Matthew W. Peterson,Anna Lyubetskaya,Elham Azizi,Linsday Sweet,Antonio L.C. Gomes,Tige R. Rustad,Gregory Dolganov,Irina Glotova,Thomas Abeel,Thomas Abeel,Chris Mahwinney,Adam D. Kennedy,Rene Allard,William Brabant,Andrew S Krueger,Suma Jaini,Brent Honda,Wen-Han Yu,Mark J. Hickey,Jeremy Zucker,Christopher D. Garay,Brian Weiner,Peter Sisk,Christian Stolte,Jessica K. Winkler,Yves Van de Peer,Paul Iazzetti,Diogo M. Camacho,Jonathan M. Dreyfuss,Yang Liu,Anca Dorhoi,Hans-Joachim Mollenkopf,Paul Drogaris,Julie Lamontagne,Yiyong Zhou,Julie Piquenot,Sang Tae Park,Sahadevan Raman,Stefan H. E. Kaufmann,Robert P. Mohney,Daniel Chelsky,D. Branch Moody,David R. Sherman,David R. Sherman,Gary K. Schoolnik +46 more
TL;DR: The first steps towards a complete reconstruction of the Mycobacterium tuberculosis regulatory network based on ChIP-Seq are taken and system-wide profiling of messenger RNAs, proteins, metabolites and lipids during hypoxia and re-aeration is combined.