Provides systematic treatment of the application of data mining in bioinformatics, in a manner that is accessible to a computer-literate reader who understands the basics of genetics as well as to computationally interested biologists. Of particular interest to researchers in data mining and bioinformatics. The book is aimed at computer scientists, so necessary biology is explained as needed. Finally, problems are provided at the end of several chapters in case readers want to use the book as a text.Target Boolean network for reverse engineering: (a) The network wiring and (b) logical rules determine (c) the ... Clustering gene expression patterns according to a similarity or distance measure is the first step toward constructing a wiring diagram for a genetic network . ... distributions of each random variable given the random variables associated with the parent nodes, , , XN) = I] P(Xt\Xj : j 6 (2.3)anbsp;...
|Title||:||Data Mining in Bioinformatics|
|Author||:||Jason T. L. Wang|
|Publisher||:||Springer Science & Business Media - 2005|