Cargando…
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
BACKGROUND: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are only a few consistencies among the recently reported design rules/guidelines for selecting siRNA sequences effective for m...
Autores principales: | Takasaki, Shigeru, Kawamura, Yoshihiro, Konagaya, Akihiko |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764479/ https://www.ncbi.nlm.nih.gov/pubmed/17254307 http://dx.doi.org/10.1186/1471-2105-7-S5-S22 |
Ejemplares similares
-
Using decision tree learning to predict the responsiveness of hepatitis C patients to drug treatment
por: Kawamura, Yoshihiro, et al.
Publicado: (2012) -
Boosting alternating decision trees modeling of disease trait information
por: Liu, Kuang-Yu, et al.
Publicado: (2005) -
Towards a semi-automatic functional annotation tool based on decision-tree techniques
por: Azé, Jérôme, et al.
Publicado: (2008) -
A new approach to enhance the performance of decision tree for classifying gene expression data
por: Hassan, Md Rafiul, et al.
Publicado: (2013) -
snpTree - a web-server to identify and construct SNP trees from whole genome sequence data
por: Leekitcharoenphon, Pimlapas, et al.
Publicado: (2012)