Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jonatan Taminau"'
Autor:
Miguel Ángel Cabrera-Pérez, Jonatan Taminau, Maykel Cruz-Monteagudo, Ann Nowé, Yunierkis Pérez-Castillo, Cosmin Lazar, Mathy Froeyen
Publikováno v:
Molecular Diversity. 18:637-654
Antibiotic resistance has increased over the past two decades. New approaches for the discovery of novel antibacterials are required and innovative strategies will be necessary to identify novel and effective candidates. Related to this problem, the
Autor:
Jonatan Taminau, David Steenhoff, Colin Molter, Robin Duque, Alain Coletta, Stijn Meganck, Hugues Bersini, Cosmin Lazar, Ann Nowé, V. de Schaetzen
Publikováno v:
Vrije Universiteit Brussel
A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application ar
Publikováno v:
Journal of Molecular Graphics and Modelling. 27:161-169
Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common poin
Publikováno v:
ISRN Bioinformatics
An increasing amount of microarray gene expression data sets is available through public repositories. Their huge potential in making new findings is yet to be unlocked by making them available for large-scale analysis. In order to do so it is essent
Autor:
Alain Coletta, David Y. Weiss Solís, Colin Molter, Stijn Meganck, Cosmin Lazar, Robin Duque, Hugues Bersini, Ann Nowé, Jonatan Taminau, David Steenhoff
Publikováno v:
Vrije Universiteit Brussel
The potential of microarray gene expression (MAGE) data is only partially explored due to the limited number of samples in individual studies. This limitation can be surmounted by merging or integrating data sets originating from independent MAGE exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5ec4dcabb410396e30477f294a57527
https://biblio.vub.ac.be/vubir/geneshift-a-nonparametric-approach-for-integrating-microarray-gene-expression-data-based-on-the-inner-product-as-a-distance-measure-between-the-distributions-of-genes(aff2f0a3-b26f-47bb-8e5e-8049396829d6).html
https://biblio.vub.ac.be/vubir/geneshift-a-nonparametric-approach-for-integrating-microarray-gene-expression-data-based-on-the-inner-product-as-a-distance-measure-between-the-distributions-of-genes(aff2f0a3-b26f-47bb-8e5e-8049396829d6).html
Autor:
Robin Duque, David Y. Weiss Solís, Ann Nowé, David Steenhoff, Jonatan Taminau, Colin Molter, Virginie de Schaetzen, Vincent Detours, Hugues Bersini, Alain Coletta, David Venet, Cosmin Lazar, Stijn Meganck
Publikováno v:
Genome biology, 13 (11
Vrije Universiteit Brussel
Genome Biology
Vrije Universiteit Brussel
Genome Biology
Genomics datasets are increasingly useful for gaining biomedical insights, with adoption in the clinic underway. However, multiple hurdles related to data management stand in the way of their efficient large-scale utilization. The solution proposed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8974e25be5dd2228d71ad83dc112398
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/133345
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/133345
Autor:
Alain Coletta, Colin Molter, Robin Duqué, David Steenhoff, Jonatan Taminau, Virginie De Schaetzen Van Brienen, Stijn Meganck, David Venet, Vasile Cosmin Lazar, Vincent Detours, Ann Nowe, Hugues Bersini, Weiss-Solis, David Y.
Publikováno v:
Vrije Universiteit Brussel
Genomics datasets are increasingly useful for gaining biomedical insights, with adoption in the clinic underway. However, multiple hurdles related to data management stand in the way of their efficient large-scale utilization. The solution proposed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6062e2395a0ad3cdb4632c95e3ad4911
https://biblio.vub.ac.be/vubir/insilico-db-genomic-datasets-hub-an-efficient-starting-point-for-analysing-genomewide-studies-in-genepattern-integrative-genomics-viewer-and-rbioconductor(a0eca195-5628-4f39-aa87-6f3987ab993f).html
https://biblio.vub.ac.be/vubir/insilico-db-genomic-datasets-hub-an-efficient-starting-point-for-analysing-genomewide-studies-in-genepattern-integrative-genomics-viewer-and-rbioconductor(a0eca195-5628-4f39-aa87-6f3987ab993f).html
Autor:
Cosmin Lazar, Robin Duque, Stijn Meganck, David Steenhoff, Ann Nowé, David Y. Weiss-Solis, Alain Coletta, Hugues Bersini, Jonatan Taminau, Colin Molter
Publikováno v:
Vrije Universiteit Brussel
Genomic data integration is a key goal to be achieved towards large-scale genomic data analysis. This process is very challenging due to the diverse sources of information resulting from genomics experiments. In this work, we review methods designed
Autor:
Cosmin Lazar, Jonatan Taminau, Virginie de Schaetzen, Hugues Bersini, David Y. Weiss Solís, David Steenhoff, Colin Molter, Alain Coletta, Robin Duque, Ann Nowé, Stijn Meganck
Publikováno v:
Vrije Universiteit Brussel
Microarray technology has become an integral part of biomedical research and increasing amounts of datasets become available through public repositories. However, re-use of these datasets is severely hindered by unstructured, missing or incorrect bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc73824b6ba815c81337766f3f9e1ce
https://biblio.vub.ac.be/vubir/insiiicodb-an-rbioconductor-package-for-accessing-human-affymetrix-expertcurated-datasets-from-geo(e2276d74-ced5-4302-9b75-d0ae37d6ef72).html
https://biblio.vub.ac.be/vubir/insiiicodb-an-rbioconductor-package-for-accessing-human-affymetrix-expertcurated-datasets-from-geo(e2276d74-ced5-4302-9b75-d0ae37d6ef72).html
Autor:
Alain Coletta, Cosmin Lazar, Ann Nowé, David Y. Weiss-Solis, Nic Walker, Hugues Bersini, Jonatan Taminau, Stijn Meganck
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642167492
CSBio
Vrije Universiteit Brussel
CSBio
Vrije Universiteit Brussel
Breast cancer is a heterogenous disease with a large variance in prognosis of patients. It is hard to distinguish patients who would need adjuvant chemotherapy from those who can survive without. Using micro-array based technology and various feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6393ddb586b34a3779fcd5ecd8e5f95
https://hdl.handle.net/20.500.14017/f2af93fd-3550-4929-aa09-78d5e77c38ba
https://hdl.handle.net/20.500.14017/f2af93fd-3550-4929-aa09-78d5e77c38ba