Correlating phosphoproteomic signaling with castration resistant prostate cancer survival through regression analysis.

ABSTRACT: Prostate cancer most commonly presents as initially castration dependent, however in a minority of patients the disease will progress to a state of castration resistance. Here, approaches for correlating alterations in the phosphoproteome with androgen independent cell survival in the LNCaP, PC3, and MDa-PCa-2b cell lines are discussed. The performance of the regression techniques multiple linear, ridge, principal component, and partial least squares regression is compared. The predictive performance of these algorithms over randomized data sets and using the Akaike Information Criterion is explored, and principal component and partial least squares regression are found to outperform other regression approaches. The effect of altering the number of features versus observations on the R(2)

SUBMITTER: Lescarbeau R 

PROVIDER: S-EPMC3967742 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature