SYSTEM AND METHOD FOR STATISTICALLY ANALYZING APPARENT COMPARATIVE GENOMIC HYBRIDIZATION (CGH) DATA ANOMALY AND PLOTTING THE SAME

摘要

PPROBLEM TO BE SOLVED: To correctly determine whether or not an anomaly value of data related to a gene is statistically valid. PSOLUTION: This application relates to a method for statistically analyzing apparent anomalies in CGH data, wherein the CGH data is arrayed corresponding to locations of substance on chromosomes from which the CGH data was derived. A set of CGH ratio values is considered and Z-score values are computed for each CGH ratio value (106). The Z-score values are classified based upon a predetermined cutoff value (108). The number of Z-scores that are greater than a predetermined cutoff value is counted, the number of Z-scores that are less than a negative of the predetermined cutoff value is counted, and the total number of Z-scores is counted. A subset of the set of CGH ratios is considered, being defined by a window of predetermined size. A secondary Z-score is computed to obtain the significance of at least one of overabundance and underabundance of at least one of significant positive deviations and significant negative deviations in the subset. PCOPYRIGHT: (C)2006,JPO&NCIPI