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Problem Solving Handbook in Computational Biology and Bioinformatics

Bioinformatics is growing by leaps and bounds; theories/algorithmsstatistical techniques are constantly evolving. Nevertheless, a core;

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The Problem Solving Handbook for Computational Biology and Bioinformatics

Bioinformatics is growing by leaps and bounds; theories/algorithmsstatistical techniques are constantly evolving. Nevertheless, a core;

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Statistical Bioinformatics with R

Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications.

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Structural Bioinformatics Handbook

structures. The chapters included herein discuss concepts of genome research and gene networks, stimulating biological networks, statistical and;

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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the;

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Basics of Bioinformatics

in Computational Genomics, Statistical Methods in Bioinformatics, Algorithms in Computational Biology, Multivariate Statistical Methods in Bioinformatics;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Statistical Modelling in Biostatistics and Bioinformatics

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The;

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Statistical Modelling in Biostatistics and Bioinformatics

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The;

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Essential Computing Skills for Biologists

three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.;

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Statistical Modelling and Machine Learning Principles for Bioinformatics Techniq

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting t;...

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BIOS Instant Notes in Bioinformatics

into three parts: the first being an introduction to bioinformatics in biology; the second covering the physical, mathematical, statistical and;

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Handbook on Neural Information Processing

Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple;

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Handbook of Statistical Bioinformatics

Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types o;...

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Handbook of Statistical Bioinformatics

Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types o;...

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Computational Intelligence Techniques for Comparative Genomics

statistical analysis approach to effectively study the disorders and possible causes along with medical applications.;

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Statistical Bioinformatics

data sets in biology. Chaptersbegin with a description of a statistical concept and a currentexample from biomedical research, followed by more;

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Knowledge Based Bioinformatics

to genomic and proteomic research. This book discussesknowledge-based and statistical approaches, along with applicationsin bioinformatics;

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Handbook of Hidden Markov Models in Bioinformatics

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics project;...

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Handbook of Hidden Markov Models in Bioinformatics

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics project;...

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Handbook of Bioinformatics

Bioinformatics has multiple applications in varied fields of science and technology. This book attem;...

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

Gene-environment (G x E) interaction analysis is a statistical method for clarifying G x E interactions applicable to a phenotype or a;

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Fundamentals of Bioinformatics

Bioinformatics is an upcoming discipline of Life Sciences. It is an integration of computer science, and mathematical and statistical;

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Handbook of Statistical Methods and Analyses in Sports

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges;

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New Developments In Biostatistics And Bioinformatics

, statistical methods for epidemiology, and bioinformatics.;

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Bioinformatics Research and Applications

; phylogenetics; sequence analysis; and statistical methods.;

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