Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
<p>Abstract</p> <p>Background</p> <p>The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the search space by means of clustering genes into putatively <it>co-regulated </it>groups, as opposed...
Gorde:
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2006-06-01
|
| Saila: | BMC Bioinformatics |
| Sarrera elektronikoa: | http://www.biomedcentral.com/1471-2105/7/280 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|