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Algebraic Statistics for Computational Biology

science. Algebra provides a framework for unifying many of the seemingly disparate techniques used by computational biologists. This book, first;

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Introduction to Algebraic Geometry

computational biology, which exploit the computational algorithms that the theory provides. Users get the full benefit, however, when they know;

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Algebraic Statistics

Algebraic statistics uses tools from algebraic geometry, commutative algebra, combinatorics, and their computational sides to address;

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Applied Computational Biology and Statistics in Biotechnology and Bioinformatics

methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. This book presents the foundations of key problems;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for;

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Algebraic and Combinatorial Computational Biology

Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for;

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Computational Molecular Biology

methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or;

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Computational Molecular Biology

methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or;

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Computational Biology

computing resources in order to solve problems on scales of magnitude far too great for human discernment. Research in computational biology often;

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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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Handbook of Statistical Bioinformatics

developments of computational statistics in computational biology.;

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Handbook of Statistical Bioinformatics

developments of computational statistics in computational biology.;

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these;

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these;

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Computational Intelligence in Bioinformatics

impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the;

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Computation with Linear Algebraic Groups

algebraic geometry, and computational group theory, as well as those looking for a concise introduction to the theory of linear algebraic groups.;

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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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Algebraic and Geometric Methods in Discrete Mathematics

mathematics. Particular highlights include: a new computational framework, based on geometric combinatorics, for structure prediction from RNA;

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Computational Biology

Computational biology is an emerging discipline dealing with applications of computational and data-analysis techniques to study biological;

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Introduction to Matrix Theory

aimed at confining itself to computational matrix but addresses some of the algebraic techniques relevant to functional theory and offers an;

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Computational Biology

Computational biology is a field that deals with the development and application of data-analytical and theoretical methods for studying;

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Advances in Bioinformatics and Computational Biology

were carefully reviewed and selected from 41 submissions. The papers address a broad range of current topics in computational biology and;

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Computational Biology

Computational biology has soared from being an auxiliary discipline to being a crucial element for progress in practically all aspects;

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Stochastic Processes and Applications

algebraic structures, focusing on mathematical models, structures, concepts, problems and computational methods and algorithms important in modern;

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Algebraic Statistics

Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental;

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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to;

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Computational Molecular Biology

is dramatically increasing the discovery of new technologies and tools for molecular biology. The new MIT Press Computational Molecular Biology series;

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