Title
Bayesian Methods For Time Course Microarray Analysis: From Genes’ Detection To Clustering
Abstract
Eutrophication is a main concern in many coastal environments. About 65% of United States estuaries have moderate to high eutrophic conditions (Bricker et al. 1999; NOAA 2011); the most eutrophic estuaries are in the Gulf of Mexico (NOAA 2011). Nutrients are normally the key triggers of eutrophication, which can result in fish kills, loss of habitats, toxic algae blooms, commercially unproductive aquaculture, public health concerns, and loss of water resources (Figure 7.1). The primary and secondary symptoms are intimately tied with each other in response to the changing nitrogen and phosphorus loadings in aquatic environments. They cohesively lead to the changes of submerged aquatic vegetation and macrophyte-epiphyte-phytoplankton community structures that eventually would cause the changes of ecosystem balance.
Publication Date
1-1-2012
Publication Title
Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
Number of Pages
47-56
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-21037-2_5
Copyright Status
Unknown
Socpus ID
85060275753 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85060275753
STARS Citation
Angelini, Claudia; De Canditiis, Daniela; and Pensky, Marianna, "Bayesian Methods For Time Course Microarray Analysis: From Genes’ Detection To Clustering" (2012). Scopus Export 2010-2014. 4827.
https://stars.library.ucf.edu/scopus2010/4827