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Data Mining for Bioinformatics Applications

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Bioinformatics Database Systems

. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General;

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Bioinformatics Database Systems

. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General;

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Data Mining in Bioinformatics

Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data;

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Grid Computing for Bioinformatics and Computational Biology

communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for;

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;

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Advances in Bioinformatics and Computational Biology

, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;

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Devloping Bioinformatics Computer Skills

, an introduction to Perl for bioinformatics, data mining, and data visualization. Written in a clear, engaging style, Developing;

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Machine Learning in Bioinformatics

proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

communities of data mining and knowledge discovery, as well as for academicians and students in the field.;

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Genome Data Analysis

for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are;

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Bioinformatics in Personalized Medicine

in topical sections on next-generation sequencing data; genome-wide association studies; high-performanced databases; text-mining; tools for;

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Contrast Data Mining

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and;

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Advances in Bioinformatics

, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis;

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Basics of Bioinformatics

Research, Association Analysis for Human Diseases: Methods and Examples, Data Mining and Knowledge Discovery Methods with Case Examples, Applied;

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Practical Applications of Computational Biology and Bioinformatics 12th Interna

studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences;

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Biodata Mining And Visualization

There is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills;

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The Handbook of Data Mining

is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II;

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The Handbook of Data Mining

is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II;

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Advanced Data Mining and Applications

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017;

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Bioinformatics and Computational Biology

Learning, Data and Information Mining + Signal Processing and Data Quality Enhancement + Databases Posters Late Breaking Papers and Position;

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Bioinformatics: Converting Data to Knowledge

, error prevention and correction, data provenance, ontology, the importance of maintaining privacy, data mining, and the need for more computer;

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Foundations of Intelligent Systems

opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science;

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Bioinformatics

such as machine learning algorithms, pattern recognition, data mining and visualization are used. Drug discovery and design, gene finding;

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