Enrico Glaab
Zitiert von
Zitiert von
A microfluidics-based in vitro model of the gastrointestinal human–microbe interface
P Shah, JV Fritz, E Glaab, MS Desai, K Greenhalgh, A Frachet, ...
Nature communications 7 (1), 11535, 2016
EnrichNet: network-based gene set enrichment analysis
E Glaab, A Baudot, N Krasnogor, R Schneider, A Valencia
Bioinformatics 28 (18), i451-i457, 2012
Integrating pathways of Parkinson's disease in a molecular interaction map
KA Fujita, M Ostaszewski, Y Matsuoka, S Ghosh, E Glaab, C Trefois, ...
Molecular neurobiology 49, 88-102, 2014
Genome-wide network model capturing seed germination reveals coordinated regulation of plant cellular phase transitions
GW Bassel, H Lan, E Glaab, DJ Gibbs, T Gerjets, N Krasnogor, AJ Bonner, ...
Proceedings of the National Academy of Sciences 108 (23), 9709-9714, 2011
Inference of longevity-related genes from a robust coexpression network of seed maturation identifies regulators linking seed storability to biotic defense-related pathways
K Righetti, JL Vu, S Pelletier, BL Vu, E Glaab, D Lalanne, A Pasha, ...
The plant cell 27 (10), 2692-2708, 2015
Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data
E Glaab, J Bacardit, JM Garibaldi, N Krasnogor
PloS one 7 (7), e39932, 2012
NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases
C Blauwendraat, F Faghri, L Pihlstrom, JT Geiger, A Elbaz, S Lesage, ...
Neurobiology of aging 57, 247. e9-247. e13, 2017
ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization
E Glaab, JM Garibaldi, N Krasnogor
BMC bioinformatics 10, 1-7, 2009
Integrated analyses of microbiome and longitudinal metabolome data reveal microbial-host interactions on sulfur metabolism in Parkinson’s disease
J Hertel, AC Harms, A Heinken, F Baldini, CC Thinnes, E Glaab, ...
Cell reports 29 (7), 1767-1777. e8, 2019
Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets
GW Bassel, E Glaab, J Marquez, MJ Holdsworth, J Bacardit
The Plant Cell 23 (9), 3101-3116, 2011
Building a virtual ligand screening pipeline using free software: a survey
E Glaab
Briefings in bioinformatics 17 (2), 352-366, 2016
3D cultures of Parkinson's disease‐specific dopaminergic neurons for high content phenotyping and drug testing
S Bolognin, M Fossépré, X Qing, J Jarazo, J Ščančar, EL Moreno, ...
Advanced Science 6 (1), 1800927, 2019
A look into the future of the COVID-19 pandemic in Europe: an expert consultation
EN Iftekhar, V Priesemann, R Balling, S Bauer, P Beutels, AC Valdez, ...
The Lancet Regional Health–Europe 8, 2021
TopoGSA: network topological gene set analysis
E Glaab, A Baudot, N Krasnogor, A Valencia
Bioinformatics 26 (9), 1271-1272, 2010
Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson's disease
E Glaab, R Schneider
Neurobiology of disease 74, 1-13, 2015
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ...
Alzheimer's & Dementia 12 (6), 645-653, 2016
Metformin reverses TRAP1 mutation-associated alterations in mitochondrial function in Parkinson’s disease
JC Fitzgerald, A Zimprich, DA Carvajal Berrio, KM Schindler, B Maurer, ...
Brain 140 (9), 2444-2459, 2017
Condensing the omics fog of microbial communities
EEL Muller, E Glaab, P May, N Vlassis, P Wilmes
Trends in microbiology 21 (7), 325-333, 2013
COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
M Ostaszewski, A Niarakis, A Mazein, I Kuperstein, R Phair, ...
Molecular systems biology 17 (10), e10387, 2021
Frequency of loss of function variants in LRRK2 in Parkinson disease
C Blauwendraat, X Reed, DA Kia, Z Gan-Or, S Lesage, L Pihlstrøm, ...
JAMA neurology 75 (11), 1416-1422, 2018
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