Data Mining for Bioinformatics Applications

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

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  • Author : He Zengyou
  • Publisher : Woodhead Publishing
  • Pages : 100 pages
  • ISBN : 008100107X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKData Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications
  • Author : He Zengyou
  • Publisher : Woodhead Publishing
  • Release : 09 June 2015
GET THIS BOOKData Mining for Bioinformatics Applications

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.

Data Mining for Bioinformatics

Data Mining for Bioinformatics
  • Author : Sumeet Dua,Pradeep Chowriappa
  • Publisher : CRC Press
  • Release : 06 November 2012
GET THIS BOOKData Mining for Bioinformatics

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 in Bioinformatics

Data Mining in Bioinformatics
  • Author : Xindong Wu,Jason T. L. Wang,Lakhmi Jain,Mohammed J. Zaki,Dennis Shasha,Hannu Toivonen,Professor of Computer Science Dennis Shasha
  • Publisher : Springer Science & Business Media
  • Release : 09 May 2021
GET THIS BOOKData Mining in Bioinformatics

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.

Multiobjective Genetic Algorithms for Clustering

Multiobjective Genetic Algorithms for Clustering
  • Author : Ujjwal Maulik,Sanghamitra Bandyopadhyay,Anirban Mukhopadhyay
  • Publisher : Springer Science & Business Media
  • Release : 01 September 2011
GET THIS BOOKMultiobjective Genetic Algorithms for Clustering

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques – genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can

Textbook of Machine Learning and Data Mining

Textbook of Machine Learning and Data Mining
  • Author : Hiroshi Mamitsuka
  • Publisher : Unknown Publisher
  • Release : 12 September 2018
GET THIS BOOKTextbook of Machine Learning and Data Mining

Data-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine learning and data mining, dividing them from a viewpoint of data types, which begin with rather simple vectors and end by graphs and also combination of different data types. This book describes standard techniques of machine learning and data mining for each data type, especially focusing on the relevance and difference

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Ion Mandoiu,Alexander Zelikovsky
  • Publisher : John Wiley & Sons
  • Release : 25 February 2008
GET THIS BOOKBioinformatics Algorithms

Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including

Data Mining and Applications in Genomics

Data Mining and Applications in Genomics
  • Author : Sio-Iong Ao
  • Publisher : Springer Science & Business Media
  • Release : 25 September 2008
GET THIS BOOKData Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms

Contrast Data Mining

Contrast Data Mining
  • Author : Guozhu Dong,James Bailey
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKContrast Data Mining

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical,

Biological Data Mining and Its Applications in Healthcare

Biological Data Mining and Its Applications in Healthcare
  • Author : Xiaoli Li,See-Kiong Ng,Jason T L Wang
  • Publisher : World Scientific
  • Release : 28 November 2013
GET THIS BOOKBiological Data Mining and Its Applications in Healthcare

Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy

Biological Data Mining

Biological Data Mining
  • Author : Jake Y. Chen,Stefano Lonardi
  • Publisher : CRC Press
  • Release : 01 September 2009
GET THIS BOOKBiological Data Mining

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplinary data mining researchers who cover state-of-the-art biological topics. The first section of the book discusses challenges and opportunities in analyzing and mining biological sequences and structures to gain insight into molecular functions. The

Knowledge Discovery in Bioinformatics

Knowledge Discovery in Bioinformatics
  • Author : Xiaohua Hu,Yi Pan
  • Publisher : Wiley-Interscience
  • Release : 22 June 2007
GET THIS BOOKKnowledge Discovery in Bioinformatics

The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management.

Advanced Techniques for Studying Microorganisms in Extreme Environments

Advanced Techniques for Studying Microorganisms in Extreme Environments
  • Author : Étienne Yergeau
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 21 October 2019
GET THIS BOOKAdvanced Techniques for Studying Microorganisms in Extreme Environments

This book will highlight advanced techniques that were recently used for studying microorganisms in extreme environments. Recent technological leaps in the study of microorganisms in the environment now make it possible to comprehensively study microbes in the environment. Extreme environments could benefit from the application of these techniques, but many challenges such as low biomass, low activity and slow growth has prevented their wide adoption. This book will review recent application of state-of-the-art techniques in extreme environments, helping researcher and

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
  • Author : Robert Nisbet,Gary Miner,Ken Yale
  • Publisher : Elsevier
  • Release : 09 November 2017
GET THIS BOOKHandbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and

Data Mining

Data Mining
  • Author : Sushmita Mitra,Tinku Acharya
  • Publisher : John Wiley & Sons
  • Release : 21 January 2005
GET THIS BOOKData Mining

First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining