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ALMOB
2008
69views more  ALMOB 2008»
13 years 5 months ago
Learning from positive examples when the negative class is undetermined- microRNA gene identification
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
BMCBI
2010
100views more  BMCBI 2010»
13 years 5 months ago
MapMi: automated mapping of microRNA loci
Background: A large effort to discover microRNAs (miRNAs) has been under way. Currently miRBase is their primary repository, providing annotations of primary sequences, precursors...
José Afonso Guerra-Assunção, ...
CEC
2007
IEEE
13 years 9 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
BMCBI
2010
176views more  BMCBI 2010»
13 years 5 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
ALMOB
2008
124views more  ALMOB 2008»
13 years 5 months ago
A scoring matrix approach to detecting miRNA target sites
Background: Experimental identification of microRNA (miRNA) targets is a difficult and time consuming process. As a consequence several computational prediction methods have been ...
Simon Moxon, Vincent Moulton, Jan T. Kim