| dc.contributor |
Universitat de Vic. Escola Politècnica Superior |
| dc.contributor |
Universitat de Vic. Grup de Recerca en Tecnologies Digitals |
| dc.contributor |
International Conference on Advances in Statistics (2012: Barcelona) |
| dc.contributor.author |
Lew, Sergio |
| dc.contributor.author |
Solé-Casals, Jordi |
| dc.contributor.author |
Caiafa, Cesar F. |
| dc.contributor.author |
Bau i Macià, Josep |
| dc.date |
2012 |
| dc.identifier |
http://hdl.handle.net/10854/2858 |
| dc.identifier.uri |
http://hdl.handle.net/10854/2858 |
| dc.description |
In this work, we propose a copula-based method to generate synthetic
gene expression data that account for marginal and joint probability distributions
features captured from real data. Our method allows us to implant significant
genes in the synthetic dataset in a controlled manner, giving the possibility of
testing new detection algorithms under more realistic environments. |
| dc.format |
application/pdf |
| dc.language |
eng |
| dc.rights |
Aquest document està subjecte a aquesta llicència Creative Commons |
| dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.rights |
info:eu-repo/semantics/openAccess |
| dc.subject |
Dependència (Estadística) |
| dc.subject |
Distribució (Teoria de la probabilitat) |
| dc.title |
A copula-based method for synthetic microarray data generation |
| dc.type |
info:eu-repo/semantics/conferenceObject |
