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Computational Methods for the Analysis of Genomic Data and Biological Processes

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Advanced Computational Methods for Biocomputing & Bioimaging

Computational models have been playing a significant role for the computer-based analysis of biological and biomedical data. Given the;

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Computational Methods in Systems Biology

37 regular paper submissions. The topics include formalisms for modeling biological processes; models and their biological applications;

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Computational Methods in Systems Biology

; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational;

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Computational Methods in Systems Biology

carefully reviewed and selected from 41 regular paper submissions. Topics of interest include formalisms for modeling biological processes; models;

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Computational Systems Bioinformatics - Methods And Biomedical Applications

of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data;

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Computational Methods in Systems Biology

biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological;

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Statistical Genomics

Protocols, explores a range of both applications and tools and is ideal for anyone interested in the statistical analysis of genomic data.;

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Computational Genomic Signatures

genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for;

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Applied Statistics for Network Biology: Methods in Systems Biology

The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and;

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Evolutionary Genomics

remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the;

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Evolutionary Genomics

Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire;

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Computational Methods for Next Generation Sequencing Data Analysis

analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and;

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Big Data in Omics and Imaging, Two Volume Set

FEATURES Bridges the gap between the traditional statistical methods and computational tools for small genetic and epigenetic data;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Bioinformatics and Biomedical Engineering

image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a;

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Evolutionary Genomics

getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Computational Genomics with R

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners;

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Big Data in Omics and Imaging: Association Analysis

for association analysis and machine learning, developed in the text, can be applied to genomic, epigenomic and imaging data. FEATURES;

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Big Data in Omics and Imaging: Association Analysis

for association analysis and machine learning, developed in the text, can be applied to genomic, epigenomic and imaging data. FEATURES;

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Advances In Genomic Sequence Analysis And Pattern Discovery

presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods;

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Computational Genomic Signatures

genomic signatures. The text takes the position that a practical computational genomic signature consists of both a model and a measure for;

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Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this;

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Computational Methods in Systems Biology

. The topics of interest include biological process modelling; biological system model verification, validation, analysis, and simulation; high;

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Computational Modeling of Biological Systems

Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been;

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