2009/05/19 by Arvind Rao, Rao, Arvind, Alfred O. Hero +2
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Gene expression and cancer classification #Machine Learning in Bioinformatics
paper · pdf · doi:10.48550/arxiv.0905.3198
Disease occurs due to aberrant expression of genes and modulation of the biological pathways along which they lie. Inference of activated gene pathways, using gene expression data during disease progression, is an important problem. In this work, we have developed a generalizable framework for the identification of interacting pathways while incorporating biological realism, using functional data analysis and manifold embedding techniques. Additionally, we have also developed a new method to query for the differential co-ordinated activity of any desired pathway during disease progression. The methods developed in this work can be generalized to any conditions of interest.