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Gene-Environment Interaction Analysis: Methods in Bioinformatics and Computational Biology

analysis. It compiles and details cutting-edge research in bioinformatics and computational biology and will appeal to anyone involved;

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Advances in Bioinformatics and Computational Biology

from two of the guest speakers. The Brazilian Symposium on Bioinformatics covers all aspects of bioinformatics and computational biology;

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Advances in Computational Biology

analysis and alignment, Informatics and Statistics in Biopharmaceutical Research, Software tools for computational biology and bioinformatics;

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Computational Systems Bioinformatics - Methods And Biomedical Applications

Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes;

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Intelligent Computing Theories and Application

Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational;

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Bioinformatics and Computational Biology

Bioinformatics and Computational Biology is a compendium of articles and papers that were presented at BIOCOMP '13, an international;

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Advances in Bioinformatics and Computational Biology

; gene expression analysis; gene and protein interaction and networks; molecular docking; molecular evolution and phylogenetics;

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Computational Biology and Bioinformatics: Gene Regulation

computational biology and bioinformatics. Without them, the biotechnology-output data by itself is raw and perhaps meaningless. To raise such awareness;

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Computational Biology and Bioinformatics: Gene Regulation

computational biology and bioinformatics. Without them, the biotechnology-output data by itself is raw and perhaps meaningless. To raise such awareness;

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Basics of Bioinformatics

Bioinformatics Tools, Foundations for the Study of Structure and Function of Proteins, Computational Systems Biology Approaches for Deciphering;

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Handbook of Computational Molecular Biology

multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and;

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Bioinformatics and Computational Biology

Bioinformatics and Computational Biology is a compendium of articles and papers that were presented at BIOCOMP '14, an international;

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Bioinformatics

the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation;

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Research in Computational Molecular Biology

submissions. As the top conference in computational molecular biology, RECOMB addresses all current issues in algorithmic, theoretical, and;

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Cancer Bioinformatics

designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical;

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Machine Learning in Bioinformatics

increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data;

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Gene Expression Analysis

This volume provides experimental and bioinformatics approaches related to different aspects of gene expression analysis. Divided in three;

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Integrative Cluster Analysis in Bioinformatics

understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to;

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Intelligent Computing in Bioinformatics

; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene;

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Bayesian Analysis of Gene Expression Data

analysis and advanced topics for Bioinformatics, including examples that extensively detail the necessary applications.* Accompanied by website;

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Data Analytics in Bioinformatics

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine;

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Practical Applications of Computational Biology and Bioinformatics 12th Interna

This book introduces the latest international research in the fields of bioinformatics and computational biology. It includes various;

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Fundamentals of Bioinformatics and Computational Biology

undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting;

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Emerging Intelligent Computing Technology and Applications

Computational Biology; Computational Genomics and Proteomics; Knowledge Discovery and Data Mining; Evolutionary Learning and Genetic Algorithms; Machine;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

Computational Biology and Systems Medicine.;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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