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Pattern Discovery in Bioinformatics

an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the;

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Pattern Discovery in Bioinformatics

an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the;

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Pattern Recognition in Bioinformatics

This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013;

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Pattern Discovery for Deciphering Gene Regulation

functions and appearances. Pattern discovery is thus important for deciphering gene regulation, which has tremendous impacts on the understanding;

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Bioinformatics Research and Applications

simulation; next-generation sequencing data analysis; pattern discovery and classification; population genetics; software tools and applications;

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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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Kernel Methods for Pattern Analysis

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data;

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Bioinformatics

proteins. Pattern recognition, machine learning algorithms and visualization are commonly applied in bioinformatics to conduct these studies;

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Bioinformatics Research

and protein bioinformatics for drug discovery.;

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Clustering in Bioinformatics and Drug Discovery

With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent;

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Clustering in Bioinformatics and Drug Discovery

With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent;

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Bioinformatics

these, computational techniques of pattern recognition, visualization, data mining, etc. are used in bioinformatics. Research in this field;

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Advances in Computational Biology

: Gene regulation, Gene expression databases, Gene pattern discovery and identification, Genetic network modeling and inference, Gene expression;

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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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Pattern Recognition And Big Data

evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural;

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Bioinformatics

, is essential to the use of genomic information in understanding human diseases and in the identification of new molecular targets for drug discovery;

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Bioinformatics and RNA

therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent;

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Bioinformatics and Drug Discovery

This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics;

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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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Deep Learning in Bioinformatics

it can be utilized for addressing important problems in bioinformatics, including drug discovery, de novo molecular design, sequence analysis;

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Analog and Structural Drug Designing on Swine Flu Inhibitors

This work gives a good explanation about bioinformatics- Drug Designing(Docking, Pharmacophore, QSAR) using discovery studio 2.5. As;

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Bioinformatics and Biomedical Engineering

behavior monitoring, analysis and understanding; pattern recognition and machine learning in the -omics sciences; and resources for;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Computational Intelligence in Pattern Recognition

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;

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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular;

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Pattern Recognition and Machine Intelligence

This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held;

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