Identification of Informative Genes and Pathways using an Improved Penalized Support Vector Machine with a Weighting Scheme

Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be included when the pathway data is used for analysis of context specific data like cancer microarray data. Therefore, efficient identification of informative genes is inevitable. Embedded methods like penalized classifiers have been used for microarray analysis due to their embedded gene selection.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research