Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
-
* Corresponding author: Francisco Azuaje fj.azuaje@ulster.ac.uk
BMC Bioinformatics 2006, 7:116 doi:10.1186/1471-2105-7-116
Accesses
- Last 30 days: 39 accesses
- Last 365 days: 365 accesses
- All time: 2528 accesses
Cited by
BioMed Central: 3 citations
|
Clustering-based approaches to SAGE data mining Haiying Wang, Huiru Zheng, Francisco Azuaje BioData Mining 2008, 1:5 (17 July 2008) |
|
Filling the gap between biology and computer science Jesús S Aguilar-Ruiz, Jason H Moore, Marylyn D Ritchie BioData Mining 2008, 1:1 (17 July 2008) |
|
Identification of transcripts with enriched expression in the developing and adult pancreas Brad G Hoffman, Bogard Zavaglia, Joy Witzsche, Teresa Ruiz de Algara, Mike Beach, Pamela A Hoodless, Steven JM Jones, Marco A Marra, Cheryl D Helgason Genome Biology 2008, 9:R99 (14 June 2008) The expression profile of different developmental stages of the murine pancreas and predictions of transcription factor interactions, provides a framework for pancreas regulatory networks and development. |