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, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;
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mining and ortologies; biomolecular imaging; comparative genomics; computational genetic epidemiology; computational proteomics; data mining and;
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Informatics and Related Issues Protein Classification and Structure Prediction, Folding, and Computational Structural Biology + Drug Design Machine;
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, Folding, and Computational Structural Biology * Modeling And Simulation Novel Studies * Data and Information Mining, Computational Biology;
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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data;
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implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols;
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This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear;
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Structural biology is becoming a routine technique for structure de termination in pharmaceutical industries. The advances in molecular;
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Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this;
Vergelijkbare producten zoals 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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, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the;
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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 Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms;
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This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining;
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book can be used as a supplement to any course in data mining or computational/systems biology.;
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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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explores software frameworks that integrate bioinformatics and computational biology. Additional coverage includes: Bio-ontology and data mining;
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international experts, Structural Genomics and High Throughput Structural Biology details state-of-the-art analytical and computational methods used to;
Vergelijkbare producten zoals 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 is an interdisciplinary field which incorporates concepts of biochemistry and molecular biology to study and analyze;
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plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include;
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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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studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences;
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, 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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, 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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Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first;
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An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis;
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