Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bert Coessens"'
Autor:
Amanda E Links, David Draper, Elizabeth Lee, Jessica Guzman, Zaheer Valivullah, Valerie Maduro, Vlad Lebedev, Maxim Didenko, Garrick Tomlin, Michael Brudno, Marta Girdea, Sergiu Dumitriu, Andrew M Arnold, Bert Coessens, Steven Verhoeven, William Bone, David Adams, Cornelius F Boerkoel, William A Gahl, Murat Sincan
Publikováno v:
Frontiers in Medicine, Vol 3 (2016)
The National Institutes of Health Undiagnosed Diseases Program (NIH UDP) applies translational research systematically to diagnose patients with undiagnosed diseases. The challenge is to implement an information system enabling scalable translational
Externí odkaz:
https://doaj.org/article/27a2f0f1be204193ae13693192d4a198
Publikováno v:
Genetics in Medicine. 9:642-649
Genome-wide array comparative genomic hybridization screening is uncovering pathogenic submicroscopic chromosomal imbalances in patients with developmental disorders. In those patients, imbalances appear now to be scattered across the whole genome, a
Autor:
Yves Moreau, Sunit Maity, Stein Aerts, Léon-Charles Tranchevent, Peter Carmeliet, Bert Coessens, Diether Lambrechts, Peter Marynen, Peter Van Loo, Bassem A. Hassan, Bart De Moor, Frederik De Smet
Publikováno v:
Nature Biotechnology. 24:537-544
The identification of genes involved in health and disease remains a challenge. We describe a bioinformatics approach, together with a freely accessible, interactive and flexible software termed Endeavour, to prioritize candidate genes underlying bio
Autor:
Bart De Moor, Ruben Verlinden, Yves Moreau, Stijn Christiaens, Robert Meersman, Bert Coessens
Publikováno v:
On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops ISBN: 9783540482697
OTM Workshops (1)
OTM Workshops (1)
In this paper we present our progress on a framework for collection and presentation of biomedical information through ontology-based mediation. The framework is built on top of a methodology for computational prioritization of candidate disease gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac3c8ee281ed590a49d50abff4c55543
https://hdl.handle.net/20.500.14017/947835c6-adb5-4d65-b25b-f2b615760bba
https://hdl.handle.net/20.500.14017/947835c6-adb5-4d65-b25b-f2b615760bba
Publikováno v:
Advances in Neural Networks-ISNN 2006 ISBN: 9783540344827
ISNN (2)
ISNN (2)
We present an approach to interpret gene profiles derived from biomedical literature using Self Organizing Maps (SOMs). Comparison of different clustering algorithms shows that SOMs perform better in grouping high dimensional gene profiles when a lot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a24e95d77e5aa6f26141b41e7f2e8d4c
https://doi.org/10.1007/11760191_93
https://doi.org/10.1007/11760191_93
TOUCAN is a Java application for the rapid discovery of significant cis-regulatory elements from sets of coexpressed or coregulated genes. Biologists can automatically (i) retrieve genes and intergenic regions, (ii) identify putative regulatory regio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4107fcc4cf4232d98f4c03e04257154
http://nar.oxfordjournals.org/cgi/pmidlookup?view=long&pmid=12626717
http://nar.oxfordjournals.org/cgi/pmidlookup?view=long&pmid=12626717
Autor:
Kathleen Marchal, Yves Moreau, Frank De Smet, Bert Coessens, Bart De Moor, Patrick Glenisson, Gert Thijs, Stein Aerts, Kristof Engelen, Janick Mathys
Publikováno v:
NUCLEIC ACIDS RESEARCH
INCLUSive is a suite of algorithms and tools for the analysis of gene expression data and the discovery of cis-regulatory sequence elements. The tools allow normalization, filtering and clustering of microarray data, functional scoring of gene cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d14714a112ae550301f451e7b06a3719
https://biblio.ugent.be/publication/3186745
https://biblio.ugent.be/publication/3186745
Publikováno v:
Bioinformatics. 19:893-894
Summary: MARAN is a web-based application for normalizing microarray data. MARAN comprises a generic ANOVA model, an option for Loess fitting prior to ANOVA analysis, and a module for selecting genes with significantly changing expression. Availabili
Autor:
Steven Van Vooren, Janick Mathys, Bart De Moor, Yves Moreau, Patrick Glenisson, Bert Coessens
Publikováno v:
Genome Biology. 5:R43
We implemented a framework called TXTGate that combines literature indices of selected public biological resources in a flexible text-mining system designed towards the analysis of groups of genes. By means of tailored vocabularies, term- as well as
Autor:
Sylvain Brohée, Koenraad Devriendt, Bernard Thienpont, Bert Coessens, Léon-Charles Tranchevent, Roland Barriot, Peter Van Loo, Yves Moreau, Steven Van Vooren, Marc Gewillig, Jeroen Breckpot
Publikováno v:
Genome Medicine; Vol 2
Genome Medicine
Genome Medicine
Background How to efficiently integrate the daily practice of molecular biologists, geneticists, and clinicians with the emerging computational strategies from systems biology is still much of an open question. Description We built on the recent adva