Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds

@article{citeulike:1474034, abstract = {BACKGROUND:Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on dynamic responses rather than a direct comparison of static expression levels, this type of study allows a finer dissection of primary and secondary regulatory effects in the various backgrounds. Usually, results of such experiments are presented in the form of Venn diagrams, which are intuitive and visually appealing, but lack a statistical foundation.RESULTS:Here we introduce Vector Analysis (VA) as a simple, yet principled, approach to comparing expression responses in different experimental backgrounds. VA enables the automatic assignment of genes to response prototypes and provides statistical significance estimates to eliminate spurious response patterns. The application of VA to a real dataset, comparing nutrient starvation responses in wild type and mutant Arabidopsis plants, reveals that consistent patterns of expression behavior are present in the data and are reliably detected by the algorithm.CONCLUSION:Vector analysis is a flexible, easy-to-use technique to compare gene expression patterns in different experimental backgrounds. It compares favorably with the classical Venn diagram approach and can be implemented manually using spreadsheets, such as Excel, or automatically by using the supplied software.}, author = {Breitling, Rainer and Armengaud, Patrick and Amtmann, Anna }, citeulike-article-id = {1474034}, doi = {http://dx.doi.org/10.1186/1471-2105-6-181}, journal = {BMC Bioinformatics}, keywords = {new}, number = {1}, posted-at = {2007-07-23 04:33:08}, priority = {2}, title = {Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds}, url = {http://dx.doi.org/10.1186/1471-2105-6-181}, volume = {6}, year = {2005} }

TY - JOUR ID - citeulike:1474034 L3 - citeulike-article-id:1474034 TI - Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds JF - BMC Bioinformatics VL - 6 IS - 1 N2 - BACKGROUND:Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on dynamic responses rather than a direct comparison of static expression levels, this type of study allows a finer dissection of primary and secondary regulatory effects in the various backgrounds. Usually, results of such experiments are presented in the form of Venn diagrams, which are intuitive and visually appealing, but lack a statistical foundation.RESULTS:Here we introduce Vector Analysis (VA) as a simple, yet principled, approach to comparing expression responses in different experimental backgrounds. VA enables the automatic assignment of genes to response prototypes and provides statistical significance estimates to eliminate spurious response patterns. The application of VA to a real dataset, comparing nutrient starvation responses in wild type and mutant Arabidopsis plants, reveals that consistent patterns of expression behavior are present in the data and are reliably detected by the algorithm.CONCLUSION:Vector analysis is a flexible, easy-to-use technique to compare gene expression patterns in different experimental backgrounds. It compares favorably with the classical Venn diagram approach and can be implemented manually using spreadsheets, such as Excel, or automatically by using the supplied software. KW - new AU - Breitling, Rainer AU - Armengaud, Patrick AU - Amtmann, Anna PY - 2005/// UR - http://dx.doi.org/10.1186/1471-2105-6-181 ER -