Sciweavers

Share
ICMLA
2010

Using Randomised Vectors in Transcription Factor Binding Site Predictions

11 years 3 months ago
Using Randomised Vectors in Transcription Factor Binding Site Predictions
Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may or may not contain binding sites. This poses problems with negative data in a trainable classifier. Here we show that using randomized negative data gives a large boost in classifier performance when compared to the original labeled data. Keywords- Genes; Binding Site; Classification; Support Vector Machines
Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alis
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICMLA
Authors Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson
Comments (0)
books