Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Thomas Dhollander"'
Autor:
Bart De Moor, Julio Collado-Vides, Kathleen Marchal, Thomas Dhollander, Kristof Engelen, Karen Lemmens, Pieter Monsieurs, Tijl De Bie
Publikováno v:
Annals of the New York Academy of Sciences. 1158
Thanks to the availability of high-throughput omics data, bioinformatics approaches are able to hypothesize thus-far undocumented genetic interactions. However, due to the amount of noise in these data, inferences based on a single data source are of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4a759a4cbf1792639f90547de353edb
https://pubmed.ncbi.nlm.nih.gov/19348629
https://pubmed.ncbi.nlm.nih.gov/19348629
Autor:
Qiang Fu, Thomas Dhollander, Tijl De Bie, Bart De Moor, Annemieke Verstuyf, Kathleen Marchal, Karen Lemmens, Valerie Storms, Hong Sun
Publikováno v:
BMC BIOINFORMATICS
BMC Bioinformatics, Vol 10, Iss Suppl 1, p S30 (2009)
BMC Bioinformatics
BMC Bioinformatics, Vol 10, Iss Suppl 1, p S30 (2009)
BMC Bioinformatics
Background The detection of cis-regulatory modules (CRMs) that mediate transcriptional responses in eukaryotes remains a key challenge in the postgenomic era. A CRM is characterized by a set of co-occurring transcription factor binding sites (TFBS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dc9f7b0eb5587e54f78b63b6fe194a5
https://hdl.handle.net/1854/LU-3187088
https://hdl.handle.net/1854/LU-3187088
Autor:
Bart De Moor, Tim Van den Bulcke, Piet van Remortel, Koenraad Van Leemput, Thomas Dhollander, Kathleen Marchal
Publikováno v:
Artificial life
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and associated expression data. This article reports the application of Sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8650a9f3963b417045b42a11799c06e7
https://pubmed.ncbi.nlm.nih.gov/18171130
https://pubmed.ncbi.nlm.nih.gov/18171130
Autor:
Karen, Lemmens, Thomas, Dhollander, Tijl, De Bie, Pieter, Monsieurs, Kristof, Engelen, Bart, Smets, Joris, Winderickx, Bart, De Moor, Kathleen, Marchal
Publikováno v:
Genome Biology
ReMoDiscovery, a module discovery algorithm and software that uses ChIP-chip data, motif information and gene-expression profiles, is presented.
'ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corre
'ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bb9d1f9be0fe52f55b7a9e92e675e82b
https://pubmed.ncbi.nlm.nih.gov/16677396
https://pubmed.ncbi.nlm.nih.gov/16677396
Autor:
Bart De Moor, Karen Lemmens, Kristof Engelen, Bart Smets, Thomas Dhollander, Kathleen Marchal, Pieter Monsieurs, Tijl De Bie, Joris Winderickx
Publikováno v:
Genome Biology. 7:R37
'ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corresponding motifs to a set of co-expressed genes. It exploits in a concurrent way three independent data sources: ChIP-chip data, motif information and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1482f4ccb2b2109df76c3136cad9eef3
https://doi.org/10.1186/gb-2006-7-5-r37
https://doi.org/10.1186/gb-2006-7-5-r37
Detecting marginal and conditional independencies between events and learning their causal structure
Publikováno v:
Vrije Universiteit Brussel
Lecture Notes in Computer Science ISBN: 9783642390906
ECSQARU
Lecture Notes in Computer Science ISBN: 9783642390906
ECSQARU
Consider data given as a sequence of events, where each event has a timestamp and is of a specific type. We introduce a test for detecting marginal independence between events of two given types and for conditional independence when conditioned on on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce03f2c0262503bc0fe7424e49819546
https://researchportal.vub.be/en/publications/3d18789b-270d-429a-9435-3af95dd38f30
https://researchportal.vub.be/en/publications/3d18789b-270d-429a-9435-3af95dd38f30
Autor:
Julio Collado-Vides, Sigrid C. J. De Keersmaecker, Ami De Weerdt, Bart De Moor, Kathleen Marchal, Thomas Dhollander, Inge Thijs, Jos Vanderleyden, Kristof Engelen, Geert Schoofs, Karen Lemmens, Tijl De Bie
Publikováno v:
GENOME BIOLOGY
Genome Biology
Genome Biology
DISTILLER, a data integration framework for the inference of transcriptional module networks, is presented and used to investigate the condition dependency and modularity in Escherichia coli networks.
We present DISTILLER, a data integration fra
We present DISTILLER, a data integration fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93a3851e99193fc51596dc026de46ad0
Publikováno v:
Bioinformatics; Oct2007, Vol. 23 Issue 19, p2573-2573, 1p