Sciweavers

Share
ALMOB
2008

Learning from positive examples when the negative class is undetermined- microRNA gene identification

9 years 12 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 and others have described the use of two-class machine learning to identify novel miRNAs. These methods require the generation of an artificial negative class. However, designation of the negative class can be problematic and if it is not properly done can affect the performance of the classifier dramatically and/or yield a biased estimate of performance. We present a study using one-class machine learning for microRNA (miRNA) discovery and compare one-class to two-class approaches using na
Malik Yousef, Segun Jung, Louise C. Showe, Michael
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2008
Where ALMOB
Authors Malik Yousef, Segun Jung, Louise C. Showe, Michael K. Showe
Comments (0)
books