Robust Sampling of Defective Pathways in Alzheimer's Disease. Implications in Drug Repositioning.
Ontology highlight
ABSTRACT: We present the analysis of the defective genetic pathways of the Late-Onset Alzheimer's Disease (LOAD) compared to the Mild Cognitive Impairment (MCI) and Healthy Controls (HC) using different sampling methodologies. These algorithms sample the uncertainty space that is intrinsic to any kind of highly underdetermined phenotype prediction problem, by looking for the minimum-scale signatures (header genes) corresponding to different random holdouts. The biological pathways can be identified performing posterior analysis of these signatures established via cross-validation holdouts and plugging the set of most frequently sampled genes into different ontological platforms. That way, the effect of helper genes, whose presence might be due to the high degree of under determinacy of these experim
SUBMITTER: Fernandez-Martinez JL
PROVIDER: S-EPMC7279419 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
ACCESS DATA