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Data Mining For Bioinformatics
Author by : Sumeet Dua
Languange Used : en
Release Date : 2012-11-06
Publisher by : CRC Press
ISBN :
Description : Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer science backgrounds gain an enhanced understanding of this cross-disciplinary field. The book offers authoritative coverage of data mining techniques, technologies, and frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections: Supplies a complete overview of the evolution of the field and its intersection with computational learning Describes the role of data mining in analyzing large biological databases—explaining the breath of the various feature selection and feature extraction techniques that data mining has to offer Focuses on concepts of unsupervised learning using clustering techniques and its application to large biological data Covers supervised learning using classification techniques most commonly used in bioinformatics—addressing the need for validation and benchmarking of inferences derived using either clustering or classification The book describes the various biological databases prominently referred to in bioinformatics and includes a detailed list of the applications of advanced clustering algorithms used in bioinformatics. Highlighting the challenges encountered during the application of classification on biological databases, it considers systems of both single and ensemble classifiers and shares effort-saving tips for model selection and performance estimation strategies....
Data Mining In Bioinformatics
Author by : Jason T. L. Wang
Languange Used : en
Release Date : 2006-03-30
Publisher by : Springer Science & Business Media
ISBN :
Description : Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery....
Data Mining For Bioinformatics Applications
Author by : He Zengyou
Languange Used : en
Release Date : 2015-06-09
Publisher by : Woodhead Publishing
ISBN :
Description : Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems Contains 45 bioinformatics problems that have been investigated in recent research...
Data Mining For Bioinformatics
Author by : Sumeet Dua
Languange Used : en
Release Date : 2012-11-06
Publisher by : CRC Press
ISBN :
Description : Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to he...
Data Mining And Bioinformatics
Author by : Mehmet M Dalkilic
Languange Used : en
Release Date : 2006-12-21
Publisher by : Springer Science & Business Media
ISBN :
Description : This book constitutes the thoroughly refereed post-proceedings of the First VLDB 2006 International Workshop on Data Mining and Bioinformatics, VDMB 2006, held in Seoul, Korea in September 2006 in conjunction with VLDB 2006. The 15 revised full papers cover various topics in the areas of microarray data analysis, bioinformatics system and text retrieval, application of gene expression data, and sequence analysis....
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics
Author by : Clara Pizzuti
Languange Used : en
Release Date : 2009-04-02
Publisher by : Springer Science & Business Media
ISBN :
Description : The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease.Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 7th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2009) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 7th EvoBIO conference was held in Tubing ¨ en, Germany during April 15–17, 2009 at the Eberhard-Karls-Universitat ¨ Tu ¨bingen. EvoBIO 2009 was held jointly with the 12th European Conference on Genetic Programming (- roGP 2009), the 9th European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2009), and the Evo Workshops. C- lectively, the conferences and workshops are organized under the name Evo* (www.evostar.org)....
Data Mining In Bioinformatics
Author by : Xindong Wu
Languange Used : en
Release Date : 2005
Publisher by : Springer Science & Business Media
ISBN :
Description : Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery....