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Processes to analyze a biological sample, to group biological response profiles, to analyze an n-dimensional data network, to remove one or more artifacts from a measured biological profile, and, to network polynucleotide probes
Processes to analyze a biological sample, to group biological response profiles, to analyze an n-dimensional data network, to remove one or more artifacts from a measured biological profile, and, to network polynucleotide probes
PROCEEDINGS TO ANALYZE A BIOLOGICAL SAMPLE TO AGREE FOR BIOLOGICAL ANSWER PERFECT, TO ANALYZE A N-DIMENSIONAL DATA NETWORK, TO REMOVE ONE OR MORE ARTICLES OF A MEDIATE BIOLOGICAL PERFIL E, AND TO MENSIONAL POLICY NETWORK". This invention provides processes for improved detection of biological response patterns. In a form of the realization of invention,genes are grouped into sets of basic genes for the co-regulation of their expression. The expression of individual genes within a set of genes is indicated with a single gene expression value for the set of genes by a projection process. Instead of expressing individual genes, they are then used as the basis for comparing and detecting biological response with much improved sensitivity. In a form of invention realization, biological responses are grouped according to the similarity of their biological profile. The processes of invention have many usable applications,particularly in the fields of drug development and discovery. For example, the processes of invention can be used to compare biological responses with much improved sensitivity. Biological responses that can be compared according to these processes include responses to unique disturbances such as biological response to a mutation or temperature change, as well as graduated disturbances such as titration with a particular drug. Processes are also usable to identify cell constituents, particularly genes, associated with a particular type of biological response. In addition,Processes can also be used to identify disturbances, such as new drugs or mutations, that affect one or more sets of genes in particular. Processes can also be used to remove experimental artifacts in biological response data.
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