60 results about "Correspondence analysis" patented technology

Methods and apparatus for use in complex genetics classification are disclosed. In one illustrative example, a method is performed using data from a sample population which includes counts of individuals in the sample population associated with both a particular diploid haplotype pair and a particular genetic trait class. A correspondence to analysis (COA) on the data from the sample population is performed (at least in part) so as to determine a first plurality of n-dimensional coordinates for each diploid haplotype pair and a second plurality of n-dimensional coordinates for each genetic trait class. A linear or quadratic classification analysis is then performed based on the first and the second pluralities of n-dimensional coordinates and diploid haplotype pairs of the at least two genes from an individual sample. Advantageously, the individual sample can be accurately classified into one of the genetic trait classes using the method.

An image processing method for determining depth information from at least two input images (A1, A2) recorded using a stereo camera system, wherein the depth information is determined from a disparity graph taking into account geometric properties of the stereo camera system, characterized by the following method steps for determining the disparity graph: transforming the input images (A1, A2) into signature images (B1, B2) using a predefined operator; - calculating the costs (C) on the basis of the signature images (B1, B2) using a parameter-free statistical rank correlation measurement for determining a cost space for predefined disparity levels in relation to at least one of the at least two input images (A1, A2); carrying out a correspondence analysis (D) for each point in the cost space for the predefined disparity levels, wherein the disparity to be determined in each case corresponds to the lowest costs; and determining the disparity graph from the previously determined disparities.

Provided is a system for analyzing an expression profile whereby a great deal of expression profile data obtained by using a next-generation high-speed sequencer or a similar experimental technique is analyzed at a high speed with a computer commonly employed and thus the gene expression patterns are visualized to thereby easily analyze to what gene a novel gene is similar in function. A system for analyzing an expression profile whereby gene expression profile data is analyzed, which comprises: a memory unit for regarding the count of mRNAs, that have been expressed from a subject gene to be evaluated under each of a plural number of gene expression conditions, as expression data and memorizing the expression data with respect to the name of each subject gene; a correspondence analysis unit for reading out the expression data of each subject gene from the memory unit and conducting correspondence analysis on the basis of the count under each of the expression conditions in the expression data; a coordinate conversion unit for converting n-dimensional scores obtained by the correspondence analysis (wherein n represents a positive integer) into coordinate values for m-dimensionally assigning each gene (wherein m is a positive integer that is less than or equal to n); and an image processing unit for plotting the corresponding coordinate values with respect to each gene and displaying the plot in an image display unit.