Global Prediction of Tissue-Specific Gene Expression and Context-Dependent Gene Networks in <italic>Caenorhabditis elegans</italic> Export

@article{citeulike:4908853, abstract = {<title>Author Summary</title> <p>In animals, a crucial facet of any gene's function is the tissue or cell type in which that gene is expressed and the proteins that it interacts with in that cell. However, genome-wide identification of expression across the multitude of tissues of varying size and complexity is difficult to achieve experimentally. In this paper, we show that microararray data collected from whole animals can be analyzed to yield high-quality predictions of tissue-specific expression. These predictions are of better or comparable accuracy to tissue-specific expression determined from high-throughput experiments. Our results provide a global view of tissue-specific expression in <italic>Caenorhabditis elegans</italic>, allowing us to address the question of how expression patterns are regulated and to analyze how the functions of genes that are expressed in several tissues are influenced by the cellular context.</p>}, author = {Chikina, Maria D. and Huttenhower, Curtis and Murphy, Coleen T. and Troyanskaya, Olga G.}, citeulike-article-id = {4908853}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pcbi.1000417}, doi = {10.1371/journal.pcbi.1000417}, journal = {PLoS Comput Biol}, keywords = {fire, olga, worm}, month = {June}, number = {6}, pages = {e1000417+}, posted-at = {2009-06-19 16:37:19}, priority = {2}, publisher = {Public Library of Science}, title = {Global Prediction of Tissue-Specific Gene Expression and Context-Dependent Gene Networks in <italic>Caenorhabditis elegans</italic>}, url = {http://dx.doi.org/10.1371/journal.pcbi.1000417}, volume = {5}, year = {2009} }

TY - JOUR ID - citeulike:4908853 L3 - citeulike-article-id:4908853 N2 - <title>Author Summary</title> <p>In animals, a crucial facet of any gene's function is the tissue or cell type in which that gene is expressed and the proteins that it interacts with in that cell. However, genome-wide identification of expression across the multitude of tissues of varying size and complexity is difficult to achieve experimentally. In this paper, we show that microararray data collected from whole animals can be analyzed to yield high-quality predictions of tissue-specific expression. These predictions are of better or comparable accuracy to tissue-specific expression determined from high-throughput experiments. Our results provide a global view of tissue-specific expression in <italic>Caenorhabditis elegans</italic>, allowing us to address the question of how expression patterns are regulated and to analyze how the functions of genes that are expressed in several tissues are influenced by the cellular context.</p> IS - 6 JF - PLoS Comput Biol TI - Global Prediction of Tissue-Specific Gene Expression and Context-Dependent Gene Networks in <italic>Caenorhabditis elegans</italic> PB - Public Library of Science VL - 5 SP - e1000417 KW - fire KW - olga KW - worm AU - Chikina, Maria AU - Huttenhower, Curtis AU - Murphy, Coleen AU - Troyanskaya, Olga PY - 2009/06/19/ UR - http://dx.doi.org/10.1371/journal.pcbi.1000417 ER -