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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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Statistical Methods for the Analysis of Genomic Data

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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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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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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Population Genomics with R

Population Genomics With R presents a multidisciplinary approach to the analysis of population genomics. The methods treated cover a large;

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Modern Statistical Methods for Health Research

functional data analysis Graphical modelling in genomic studies The book will be valuable to data scientists and statisticians who are;

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Primer To Analysis Of Genomic Data Using

, in addition to its prominent role in analysis of genomic data. Benefits to using R include the integrated development environment for analysis;

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Computational Methods for the Analysis of Genomic Data and Biological Processes

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Evolutionary Genomics

theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics;

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Molecular Evolution

data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and;

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Analysis of Microarray Gene Expression Data

ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Statistical Analysis in Proteomics

is a large overlap between statistical methods for the different 'omics' fields, methods for analyzing data from proteomics experiments need;

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Statistical Analysis of Spherical Data

This is the first comprehensive, yet clearly presented, account of statistical methods for analysing spherical data. The analysis of data;

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Advanced Statistical Methods for the Analysis of Large Data-Sets

The theme of the meeting was Statistical Methods for the Analysis of Large Data-Sets . In recent years there has been increasing interest;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic;

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Next Generation Microarray Bioinformatics

resources for microarray bioinformatics, microarray data analysis, microarray bioinformatics in systems biology, next generation sequencing data;

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Statistical Data Analysis and Entropy

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;

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Statistical Methods for Fuzzy Data

of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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