Data Mining in Bioinformatics
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Beschreibung
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.
No known book on this area First book containing the work of key researchers in biological data mining Presents new techniques on (a) gene expression data mining, (b) gene mapping for disease detection, and (c) phylogenetic knowledge discovery, which are of increasing importance but are absent in all previously published books in the area of computational biology Organized around the major themes of modern biology: sequence studies, proteomics and developmental biology - these are core areas of present and future research Includes supplementary material: sn.pub/extras
Autor*in
Jason T. L. Wang
Themen in »Data Mining in Bioinformatics«
Alignment Markov chain XML bioinformatics biology calculus classification clustering computer data analysis data mining database microarray modeling protein