Uncovering Interactions in the Frequency Domain Export

@article{citeulike:2869965, abstract = {Oscillatory activity plays a critical role in regulating biological processes at levels ranging from subcellular, cellular, and network to the whole organism, and often involves a large number of interacting elements. We shed light on this issue by introducing a novel approach called partial Granger causality to reliably reveal interaction patterns in multivariate data with exogenous inputs and latent variables in the frequency domain. The method is extensively tested with toy models, and successfully applied to experimental datasets, including (1) gene microarray data of HeLa cell cycle; (2) in vivo multi-electrode array (MEA) local field potentials (LFPs) recorded from the inferotemporal cortex of a sheep; and (3) in vivo LFPs recorded from distributed sites in the right hemisphere of a macaque monkey.}, author = {Guo, Shuixia and Wu, Jianhua and Ding, Mingzhou and Feng, Jianfeng}, citeulike-article-id = {2869965}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pcbi.1000087}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18516243}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18516243}, day = {30}, doi = {10.1371/journal.pcbi.1000087}, journal = {PLoS Comput Biol}, month = {May}, number = {5}, pages = {e1000087+}, posted-at = {2008-11-20 00:14:17}, priority = {2}, publisher = {Public Library of Science}, title = {Uncovering Interactions in the Frequency Domain}, url = {http://dx.doi.org/10.1371/journal.pcbi.1000087}, volume = {4}, year = {2008} }

TY - JOUR ID - citeulike:2869965 L3 - citeulike-article-id:2869965 N2 - Oscillatory activity plays a critical role in regulating biological processes at levels ranging from subcellular, cellular, and network to the whole organism, and often involves a large number of interacting elements. We shed light on this issue by introducing a novel approach called partial Granger causality to reliably reveal interaction patterns in multivariate data with exogenous inputs and latent variables in the frequency domain. The method is extensively tested with toy models, and successfully applied to experimental datasets, including (1) gene microarray data of HeLa cell cycle; (2) in vivo multi-electrode array (MEA) local field potentials (LFPs) recorded from the inferotemporal cortex of a sheep; and (3) in vivo LFPs recorded from distributed sites in the right hemisphere of a macaque monkey. IS - 5 JF - PLoS Comput Biol TI - Uncovering Interactions in the Frequency Domain PB - Public Library of Science VL - 4 SP - e1000087 AU - Guo, Shuixia AU - Wu, Jianhua AU - Ding, Mingzhou AU - Feng, Jianfeng PY - 2008/05/30/ UR - http://dx.doi.org/10.1371/journal.pcbi.1000087 ER -