Patent ID: 7243112

Claim:
A method for identifying biomolecule functions and relationships via the manipulation of biological data from a plurality of sources, comprising: collecting biological data from a plurality of sources, wherein a source contains different attributes of biological data than another source; calculating for each source a characteristic matrix from the biological data for that source, wherein each characteristic matrix has a first dimension representing biomolecules and a second dimension representing attributes from the corresponding source, wherein each matrix element has a value for a specific biomolecule fit to a specific attribute; combining the characteristic matrices to create a combined matrix of higher dimension than each of the characteristic matrices, wherein combining includes calculating a weighting coefficient corresponding to each of the characteristic matrices; and analyzing the combined matrix to determine at least one of biomolecule functions and relationships, wherein analyzing comprises clustering the biomolecules is based on global similarity criteria between the biomolecules, wherein a global similarity criterion between two biomolecules is composed from similarity criteria between the values of each attribute of each source for the two biomolecules.