Identifying phenotype differentiating/pathway implicating gene expression signatures from Microarray data
Original Publication Date: 2004-Aug-10
Included in the Prior Art Database: 2004-Aug-10
Identification of the underlying cancer causation mechanism is extremely important in understanding how to treat the disease. The disregulation of a given cellular pathway may show up in the gene expression profile of the cell. If such is the case, computational techniques that can detect this profile change can be used to detect the pathways that have been disregulated. Following is a disclosure that demonstrates a classification based scheme to detect these pathways. The scheme has been applied on publicly available breast cancer data. Our results show that a mechanism that avoids immune surveillance may be implicated in the more aggressive kind of cancer studied.