10 search results - page 2 / 2 » Tandem machine learning for the identification of genes regu... |
BMCBI
2010
13 years 8 days ago
2010
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
RECOMB
2002
Springer
14 years 5 months ago
2002
Springer
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
BMCBI
2006
13 years 5 months ago
2006
Background: The splicing of RNA transcripts is thought to be partly promoted and regulated by sequences embedded within exons. Known sequences include binding sites for SR protein...
ICMLA
2008
13 years 6 months ago
2008
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
ALMOB
2008
13 years 5 months ago
2008
Background: MicroRNAs (miRs) are small noncoding RNAs that bind to complementary/partially complementary sites in the 3' untranslated regions of target genes to regulate prot...