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Statistical Paradigms

This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and;

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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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Advances In Multivariate Statistical Methods

This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and;

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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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Advances in Bioinformatics and Computational Biology

; computational systems biology; computational proteomics; statistical analysis of molecular sequences; algorithms for problems in computational biology;

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Advances In Bioinformatics And Its Applications - Proceedings Of The International Conference

Networks; Machine Learning and Statistical Analysis; Biomolecular Sequence and Structure Analysis; Symmetry in Sequences; and Signal Processing;

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Applied Directional Statistics

statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography;

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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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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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Advances In Statistical Bioinformatics

developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with;

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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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Bioinformatics

is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data;

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Bioinformatics and Biomedical Engineering: New Advances

The 9th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2015) was held ;...

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Bioinformatics and Biomedical Engineering: New Advances: Proceedings of the 9th International Conference on Bioinformatics and Biomedical Engineering

The 9th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2015) was held ;...

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Statistical Methods in Bioinformatics

generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are;

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Advances in Bioinformatics and Computational Biology

This book constitutes the refereed proceedings of the 9th Brazilian Symposium on Bioinformatics, BSB;...

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Advances in Bioinformatics and Computational Biology

This book constitutes the refereed proceedings of the Brazilian Symposium on Bioinformatics, BSB 201;...

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Statistical Advances in the Biomedical Sciences

educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences;

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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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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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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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Recent Advances In Stochastic Modeling And Data Analysis

solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances;

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Bioinformatics and Biomedical Engineering

biological sequence modeling, advances in computational intelligence for bioinformatics and biomedicine, tools for next generation sequencing data;

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Bioinformatics and Biomedical Engineering

biological sequence modeling, advances in computational intelligence for bioinformatics and biomedicine, tools for next generation sequencing data;

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