volume 8, issue 11, Pe78302 2013
DOI: 10.1371/journal.pone.0078302
View full text
|
Sign up to set email alerts
|
Share

Abstract: BackgroundAs microarray technology has become mature and popular, the selection and use of a small number of relevant genes for accurate classification of samples has arisen as a hot topic in the circles of biostatistics and bioinformatics. However, most of the developed algorithms lack the ability to handle multiple classes, arguably a common application. Here, we propose an extension to an existing regularization algorithm, called Threshold Gradient Descent Regularization (TGDR), to specifically tackle multi…

Expand abstract