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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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Bioinformatics Research and Applications

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

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Bioinformatics and Computational Biology

Informatics and Related Issues Protein Classification and Structure Prediction, Folding, and Computational Structural Biology + Drug Design Machine;

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Bioinformatics and Computational Biology

, Folding, and Computational Structural Biology * Modeling And Simulation Novel Studies * Data and Information Mining, Computational Biology;

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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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Data Mining for Systems Biology

implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols;

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Linear Algebra Tools For Data Mining

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;

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Data Mining in Structural Biology

Structural biology is becoming a routine technique for structure de termination in pharmaceutical industries. The advances in molecular;

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Biological Data Mining

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this;

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Biological Data Mining

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this;

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Handbook of Computational Molecular Biology

, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the;

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Biology of Useful Plants and Microbes

sciences. Research on structural biology, codon usage, cloud computing, data mining and gene expression analysis are additionally presented in this;

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Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms;

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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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Clustering Challenges In Biological Networks

book can be used as a supplement to any course in data mining or computational/systems biology.;

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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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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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Structural Genomics and High Throughput Structural Biology

international experts, Structural Genomics and High Throughput Structural Biology details state-of-the-art analytical and computational methods used to;

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Structural Genomics and High Throughput Structural Biology

international experts, Structural Genomics and High Throughput Structural Biology details state-of-the-art analytical and computational methods used to;

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Structural Biology

Structural biology is an interdisciplinary field which incorporates concepts of biochemistry and molecular biology to study and analyze;

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Signal Processing in Medicine and Biology

plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include;

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Data Mining in Drug Discovery

polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches;

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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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Data Mining for Bioinformatics

, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer science backgrounds gain an;

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Data Mining for Bioinformatics

, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer science backgrounds gain an;

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Biological Knowledge Discovery Handbook

Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first;

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Algorithms in Structural Molecular Biology

An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis;

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