Functional interpretation of microarray experiments.

@article{citeulike:1381976, abstract = {Over the past few years, due to the popularisation of high-throughput methodologies such as DNA microarrays, the possibility of obtaining experimental data has increased significantly. Nevertheless, the interpretation of the results, which involves translating these data into useful biological knowledge, still remains a challenge. The methods and strategies used for this interpretation are in continuous evolution and new proposals are constantly arising. Initially, a two-step approach was used in which genes of interest were initially selected, based on thresholds that consider only experimental values, and then in a second, independent step the enrichment of these genes in biologically relevant terms, was analysed. For different reasons, these methods are relatively poor in terms of performance and a new generation of procedures, which draw inspiration from systems biology criteria, are currently under development. Such procedures, aim to directly test the behaviour of blocks of functionally related genes, instead of focusing on single genes.}, address = {Department of Bioinformatics, and Functional Genomics Node (INB), Centro de Investigaci\'{o}n Pr\'{i}ncipe Felipe (CIPF), Valencia, Spain. jdopazo@cipf.es}, author = {Dopazo, J. }, citeulike-article-id = {1381976}, doi = {10.1089/omi.2006.10.398}, issn = {1536-2310}, journal = {OMICS}, keywords = {gene\_list\_analysis, gene\_set\_analysis, microarray, review}, number = {3}, pages = {398--410}, posted-at = {2007-06-25 17:38:29}, priority = {0}, title = {Functional interpretation of microarray experiments.}, url = {http://dx.doi.org/10.1089/omi.2006.10.398}, volume = {10}, year = {2006} }

TY - JOUR ID - citeulike:1381976 L3 - citeulike-article-id:1381976 TI - Functional interpretation of microarray experiments. JF - OMICS VL - 10 IS - 3 SP - 398 EP - 410 AD - Department of Bioinformatics, and Functional Genomics Node (INB), Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain. jdopazo@cipf.es SN - 1536-2310 N2 - Over the past few years, due to the popularisation of high-throughput methodologies such as DNA microarrays, the possibility of obtaining experimental data has increased significantly. Nevertheless, the interpretation of the results, which involves translating these data into useful biological knowledge, still remains a challenge. The methods and strategies used for this interpretation are in continuous evolution and new proposals are constantly arising. Initially, a two-step approach was used in which genes of interest were initially selected, based on thresholds that consider only experimental values, and then in a second, independent step the enrichment of these genes in biologically relevant terms, was analysed. For different reasons, these methods are relatively poor in terms of performance and a new generation of procedures, which draw inspiration from systems biology criteria, are currently under development. Such procedures, aim to directly test the behaviour of blocks of functionally related genes, instead of focusing on single genes. KW - gene_list_analysis KW - gene_set_analysis KW - microarray KW - review AU - Dopazo, J PY - 2006/// UR - http://dx.doi.org/10.1089/omi.2006.10.398 ER -