Sciweavers

344 search results - page 1 / 69
» Support Vector Machines for Predicting microRNA Hairpins
Sort
View
BIOCOMP
2006
13 years 5 months ago
Support Vector Machines for Predicting microRNA Hairpins
- microRNAs (miRNAs) are 20-22 nt noncoding RNAs which are rapidly emerging as crucial regulators of gene expression in plants and animals. Identification of the hairpins which yie...
Karol Szafranski, Molly Megraw, Martin Reczko, Art...
BMCBI
2007
226views more  BMCBI 2007»
13 years 4 months ago
MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans
Background: MicroRNAs (miRNAs) are recognized as one of the most important families of noncoding RNAs that serve as important sequence-specific post-transcriptional regulators of ...
Ting-Hua Huang, Bin Fan, Max F. Rothschild, Zhi-Li...
BMCBI
2006
161views more  BMCBI 2006»
13 years 4 months ago
miTarget: microRNA target gene prediction using a support vector machine
Sung-Kyu Kim, Jin-Wu Nam, Je-Keun Rhee, Wha-Jin Le...
BMCBI
2008
141views more  BMCBI 2008»
13 years 4 months ago
MiRTif: a support vector machine-based microRNA target interaction filter
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...
Yuchen Yang, Yu-Ping Wang, Kuo-Bin Li
BMCBI
2010
113views more  BMCBI 2010»
13 years 4 months ago
Improving performance of mammalian microRNA target prediction
Background: MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA...
Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yu...