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Full-Text Articles in Life Sciences
Mappfinder: Using Gene Ontology And Genmapp To Create A Global Gene-Expression Profile From Microarray Data, Scott W. Doniger, Nathan Salomonis, Kam D. Dahlquist, Karen Vranizan, Steven C. Lawlor, Bruce R. Conklin
Mappfinder: Using Gene Ontology And Genmapp To Create A Global Gene-Expression Profile From Microarray Data, Scott W. Doniger, Nathan Salomonis, Kam D. Dahlquist, Karen Vranizan, Steven C. Lawlor, Bruce R. Conklin
Biology Faculty Works
MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP (http://www.GenMAPP.org). The results are displayed in a searchable browser, allowing the user to rapidly identify GO terms with over-represented numbers of geneexpression changes. Clicking on GO terms generates GenMAPP graphical files where gene relationships can be explored, annotated, and files can be freely exchanged.
Regression Approaches For Microarray Data Analysis, Mark R. Segal, Kam D. Dahlquist, Bruce R. Conklin
Regression Approaches For Microarray Data Analysis, Mark R. Segal, Kam D. Dahlquist, Bruce R. Conklin
Biology Faculty Works
A variety of new procedures have been devised to handle the two sample comparison (e.g., tumor versus normal tissue) of gene expression values as measured with microarrays. Such new methods are required in part because of some defining characteristics of microarray-based studies: (i) the very large number of genes contributing expression measures which far exceeds the number of samples (observations) available, and (ii) the fact that by virtue of pathway/network relationships, the gene expression measures tend to be highly correlated. These concerns are exacerbated in the regression setting, where the objective is to relate gene expression, simultaneously for multiple genes, …