Accès à distance ? S'identifier sur le proxy UCLouvain
Transcriptional network inference from functional similarity and expression data: a global supervised approach
Primary tabs
- Open access
- 405.60 K
Document type | Article de périodique (Journal article) – Article de recherche |
---|---|
Access type | Accès libre |
Publication date | 2012 |
Language | Anglais |
Journal information | "Statistical Applications in Genetics and Molecular Biology" - Vol. 11, no. 1, p. Article 2 [1-26] (2012) |
Peer reviewed | yes |
Publisher | Bepress ((United States) Berkeley, CA) |
issn | 2194-6302 |
e-issn | 1544-6115 |
Publication status | Publié |
Affiliations |
UCL
- SSS/IREC/CTMA - Centre de technologies moléculaires appliquées (plate-forme technologique) UCL - SSS/IREC/EPID - Pôle d'épidémiologie et biostatistique UCL - SST/ICTM/ELEN - Pôle en ingénierie électrique UCL - (SLuc) Service de pneumologie |
Keywords | transcriptional network ; supervised microarray |
Links |
Bibliographic reference | Ambroise, Jérôme ; Robert, Annie ; Macq, Benoît ; Gala, Jean-Luc. Transcriptional network inference from functional similarity and expression data: a global supervised approach. In: Statistical Applications in Genetics and Molecular Biology, Vol. 11, no. 1, p. Article 2 [1-26] (2012) |
---|---|
Permanent URL | http://hdl.handle.net/2078.1/106314 |