Cargando…
Finding microRNA regulatory modules in human genome using rule induction
BACKGROUND: MicroRNAs (miRNAs) are a class of small non-coding RNA molecules (20–24 nt), which are believed to participate in repression of gene expression. They play important roles in several biological processes (e.g. cell death and cell growth). Both experimental and computational approaches hav...
Autores principales: | Tran, Dang Hung, Satou, Kenji, Ho, Tu Bao |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638145/ https://www.ncbi.nlm.nih.gov/pubmed/19091028 http://dx.doi.org/10.1186/1471-2105-9-S12-S5 |
Ejemplares similares
-
Computational discovery of miR-TF regulatory modules in human genome
por: Tran, Dang Hung, et al.
Publicado: (2010) -
Characterizing nucleosome dynamics from genomic and epigenetic information using rule induction learning
por: Le, Ngoc Tu, et al.
Publicado: (2009) -
Inferring microRNA and transcription factor regulatory networks in heterogeneous data
por: Le, Thuc D, et al.
Publicado: (2013) -
Rules for functional microRNA targeting
por: Kim, Doyeon, et al.
Publicado: (2017) -
microRNA strand selection: Unwinding the rules
por: Medley, Jeffrey C., et al.
Publicado: (2020)