PRECISION PHENOTYPING USING SCORE SPACE PROXIMITY ANALYSIS.

摘要

Methods are provided for determining the level of perturbation of a phenotype in an organism using a multivariate statistical analysis. The method comprises a first step of collecting at least one measurement from at least one control group of organisms and at least one experimental group of organisms to produce a set of data. The method further comprises a second step of using a processor to conduct a multivariate statistical analysis on the set of data to determine the level of perturbation of a phenotype or trait of interest in the experimental group of organisms. Such a multivariate statistical analysis comprises the steps of arranging the set of data into a matrix, expressing the matrix into a set of new basis functions and projecting the set of data onto the set of new basis functions to calculate a set of scores for each of the two groups of organisms. The multivariate statistical analysis further comprises the steps of determining a score space by calculating a distance between the set of scores generated for the control group of organisms and for the experimental group of organisms, and using the score space to determine the level of perturbation of the phenotype of interest in the experimental group of organisms. Methods are further provided for selecting a group of organisms based on the distance in the score space between the control group of organisms and the experimental group of organisms.