A distribution-free multi-factorial profiler for harvesting information from high-density screenings.

ABSTRACT: Data screening is an indispensable phase in initiating the scientific discovery process. Fractional factorial designs offer quick and economical options for engineering highly-dense structured datasets. Maximum information content is harvested when a selected fractional factorial scheme is driven to saturation while data gathering is suppressed to no replication. A novel multi-factorial profiler is presented that allows screening of saturated-unreplicated designs by decomposing the examined response to its constituent contributions. Partial effects are sliced off systematically from the investigated response to form individual contrasts using simple robust measures. By isolating each time the disturbance attributed solely to a single controlling factor, the Wilcoxon-Mann-Whitney rank stoch

SUBMITTER: Besseris GJ 

PROVIDER: S-EPMC3756950 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature