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Institution

Université libre de Bruxelles

EducationBrussels, Belgium
About: Université libre de Bruxelles is a education organization based out in Brussels, Belgium. It is known for research contribution in the topics: Population & Breast cancer. The organization has 24974 authors who have published 56969 publications receiving 2084303 citations. The organization is also known as: ULB.


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Journal ArticleDOI
TL;DR: It is proved that replacing the usual quadratic regularizing penalties by weighted 𝓁p‐penalized penalties on the coefficients of such expansions, with 1 ≤ p ≤ 2, still regularizes the problem.
Abstract: We consider linear inverse problems where the solution is assumed to have a sparse expansion on an arbitrary preassigned orthonormal basis. We prove that replacing the usual quadratic regularizing penalties by weighted p-penalties on the coefficients of such expansions, with 1 ≤ p ≤ 2, still regularizes the problem. Use of such p-penalized problems with p < 2 is often advocated when one expects the underlying ideal noiseless solution to have a sparse expansion with respect to the basis under consideration. To compute the corresponding regularized solutions, we analyze an iterative algorithm that amounts to a Landweber iteration with thresholding (or nonlinear shrinkage) applied at each iteration step. We prove that this algorithm converges in norm. © 2004 Wiley Periodicals, Inc.

4,339 citations

Journal ArticleDOI
25 Jul 2002-Nature
TL;DR: It is shown that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment, and less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal Growth in four of the tested conditions.
Abstract: Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed 'molecular bar codes' uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.

4,328 citations

Journal ArticleDOI
Luke Jostins1, Stephan Ripke2, Rinse K. Weersma3, Richard H. Duerr4, Dermot P.B. McGovern5, Ken Y. Hui6, James Lee7, L. Philip Schumm8, Yashoda Sharma6, Carl A. Anderson1, Jonah Essers9, Mitja Mitrovic3, Kaida Ning6, Isabelle Cleynen10, Emilie Theatre11, Sarah L. Spain12, Soumya Raychaudhuri9, Philippe Goyette13, Zhi Wei14, Clara Abraham6, Jean-Paul Achkar15, Tariq Ahmad16, Leila Amininejad17, Ashwin N. Ananthakrishnan9, Vibeke Andersen18, Jane M. Andrews19, Leonard Baidoo4, Tobias Balschun20, Peter A. Bampton21, Alain Bitton22, Gabrielle Boucher13, Stephan Brand23, Carsten Büning24, Ariella Cohain25, Sven Cichon26, Mauro D'Amato27, Dirk De Jong3, Kathy L Devaney9, Marla Dubinsky5, Cathryn Edwards28, David Ellinghaus20, Lynnette R. Ferguson29, Denis Franchimont17, Karin Fransen3, Richard B. Gearry30, Michel Georges11, Christian Gieger, Jürgen Glas22, Talin Haritunians5, Ailsa Hart31, Christopher J. Hawkey32, Matija Hedl6, Xinli Hu9, Tom H. Karlsen33, Limas Kupčinskas34, Subra Kugathasan35, Anna Latiano36, Debby Laukens37, Ian C. Lawrance38, Charlie W. Lees39, Edouard Louis11, Gillian Mahy40, John C. Mansfield41, Angharad R. Morgan29, Craig Mowat42, William G. Newman43, Orazio Palmieri36, Cyriel Y. Ponsioen44, Uroš Potočnik45, Natalie J. Prescott6, Miguel Regueiro4, Jerome I. Rotter5, Richard K Russell46, Jeremy D. Sanderson47, Miquel Sans, Jack Satsangi39, Stefan Schreiber20, Lisa A. Simms48, Jurgita Sventoraityte34, Stephan R. Targan, Kent D. Taylor5, Mark Tremelling49, Hein W. Verspaget50, Martine De Vos37, Cisca Wijmenga3, David C. Wilson39, Juliane Winkelmann51, Ramnik J. Xavier9, Sebastian Zeissig20, Bin Zhang25, Clarence K. Zhang6, Hongyu Zhao6, Mark S. Silverberg52, Vito Annese, Hakon Hakonarson53, Steven R. Brant54, Graham L. Radford-Smith55, Christopher G. Mathew12, John D. Rioux13, Eric E. Schadt25, Mark J. Daly2, Andre Franke20, Miles Parkes7, Severine Vermeire10, Jeffrey C. Barrett1, Judy H. Cho6 
Wellcome Trust Sanger Institute1, Broad Institute2, University of Groningen3, University of Pittsburgh4, Cedars-Sinai Medical Center5, Yale University6, University of Cambridge7, University of Chicago8, Harvard University9, Katholieke Universiteit Leuven10, University of Liège11, King's College London12, Université de Montréal13, New Jersey Institute of Technology14, Cleveland Clinic15, Peninsula College of Medicine and Dentistry16, Université libre de Bruxelles17, Aarhus University18, University of Adelaide19, University of Kiel20, Flinders University21, McGill University22, Ludwig Maximilian University of Munich23, Charité24, Icahn School of Medicine at Mount Sinai25, University of Bonn26, Karolinska Institutet27, Torbay Hospital28, University of Auckland29, Christchurch Hospital30, Imperial College London31, Queen's University32, University of Oslo33, Lithuanian University of Health Sciences34, Emory University35, Casa Sollievo della Sofferenza36, Ghent University37, University of Western Australia38, University of Edinburgh39, Queensland Health40, Newcastle University41, University of Dundee42, University of Manchester43, University of Amsterdam44, University of Maribor45, Royal Hospital for Sick Children46, Guy's and St Thomas' NHS Foundation Trust47, QIMR Berghofer Medical Research Institute48, Norfolk and Norwich University Hospital49, Leiden University50, Technische Universität München51, University of Toronto52, University of Pennsylvania53, Johns Hopkins University54, University of Queensland55
01 Nov 2012-Nature
TL;DR: A meta-analysis of Crohn’s disease and ulcerative colitis genome-wide association scans is undertaken, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls.
Abstract: Crohn's disease and ulcerative colitis, the two common forms of inflammatory bowel disease (IBD), affect over 2.5 million people of European ancestry, with rising prevalence in other populations. Genome-wide association studies and subsequent meta-analyses of these two diseases as separate phenotypes have implicated previously unsuspected mechanisms, such as autophagy, in their pathogenesis and showed that some IBD loci are shared with other inflammatory diseases. Here we expand on the knowledge of relevant pathways by undertaking a meta-analysis of Crohn's disease and ulcerative colitis genome-wide association scans, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls. We identify 71 new associations, for a total of 163 IBD loci, that meet genome-wide significance thresholds. Most loci contribute to both phenotypes, and both directional (consistently favouring one allele over the course of human history) and balancing (favouring the retention of both alleles within populations) selection effects are evident. Many IBD loci are also implicated in other immune-mediated disorders, most notably with ankylosing spondylitis and psoriasis. We also observe considerable overlap between susceptibility loci for IBD and mycobacterial infection. Gene co-expression network analysis emphasizes this relationship, with pathways shared between host responses to mycobacteria and those predisposing to IBD.

4,094 citations

Journal ArticleDOI
06 Aug 1999-Science
TL;DR: A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome), finding that 17 percent were essential for viability in rich medium.
Abstract: The functions of many open reading frames (ORFs) identified in genome-sequencing projects are unknown. New, whole-genome approaches are required to systematically determine their function. A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome). Of the deleted ORFs, 17 percent were essential for viability in rich medium. The phenotypes of more than 500 deletion strains were assayed in parallel. Of the deletion strains, 40 percent showed quantitative growth defects in either rich or minimal medium.

4,051 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that in certain cases vector mesons do indeed acquire mass when the vacuum is degenerate with respect to a compact Lie group, and that strong interaction physics originates from massive gauge fields related to a system of conserved currents.
Abstract: It is of interest to inquire whether gauge vector mesons acquire mass through interaction; by a gauge vector meson we mean a Yang-Mills field associated with the extension of a Lie group from global to local symmetry. The importance of this problem resides in the possibility that strong-interaction physics originates from massive gauge fields related to a system of conserved currents. In this note, we shall show that in certain cases vector mesons do indeed acquire mass when the vacuum is degenerate with respect to a compact Lie group.

4,006 citations


Authors

Showing all 25206 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Yi Chen2174342293080
David Miller2032573204840
Jing Wang1844046202769
H. S. Chen1792401178529
Jie Zhang1784857221720
Jasvinder A. Singh1762382223370
D. M. Strom1763167194314
J. N. Butler1722525175561
Andrea Bocci1722402176461
Bradley Cox1692150156200
Marc Weber1672716153502
Hongfang Liu1662356156290
Guenakh Mitselmakher1651951164435
Yang Yang1642704144071
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023119
2022412
20213,195
20203,051
20192,751
20182,609