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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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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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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

explores software frameworks that integrate bioinformatics and computational biology. Additional coverage includes: Bio-ontology 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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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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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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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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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Protein Bioinformatics

Machine Learning Models and Mathematical Methods. The book highlights Data Mining which is done in Protein Bioinformatics so as to extract;

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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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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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Bioinformatics Research and Applications

mining and ortologies; biomolecular imaging; comparative genomics; computational genetic epidemiology; computational proteomics; data mining and;

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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern;

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Genome Data Analysis

This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that;

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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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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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Recent Developments in Computing and its Applications

Technologies Wireless And Sensor Networks Soft Computing Circuits and Systems Software Engineering Data Mining Bioinformatics Data and Network;

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Information and Knowledge Engineering

Management + Knowledge Acquisition Databases, Information Retrieval and Search Decision Support Systems Mining of Data Rich Sources Data and;

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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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