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Statistical Analysis of Gene Expression Microarray Data

authors of this book. Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field;

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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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Advanced Analysis of Gene Expression Microarray Data

patterns in gene expression microarray data sets* Sample-based analysis: supervised and unsupervised methods for the reduction of the gene;

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Gene Expression Data Analysis

for generating gene expression data. Background knowledge on statistical modeling and machine learning techniques. Detailed methodology;

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DNA Methylation Microarrays

Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray;

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DNA Methylation Microarrays

Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray;

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Analyzing Microarray Gene Expression Data

A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a;

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Gene Expression Studies Using Affymetrix Microarrays

a molecular biologist and a biostatistician with a combined decade of experience in practical expression profiling experiments and data;

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Gene Expression Studies Using Affymetrix Microarrays

a molecular biologist and a biostatistician with a combined decade of experience in practical expression profiling experiments and data;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Bayesian Modeling in Bioinformatics

phylogenic analysis, sparsity priors for protein-protein interaction predictions, and Bayesian networks for gene expression data. The text also;

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Analysis of Microarray Data: A Network-Based Approach

This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the;

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Bioconductor Case Studies

apply Bioconductor tools in the analysis of microarray gene expression data. Topics covered include: (1) import and preprocessing of data from;

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Microarray Gene Expression Data Analysis

This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools;

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A Practical Approach to Microarray Data Analysis

microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns;

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DNA Microarray Technology and Data Analysis in Cancer Research

DNA microarray technology has become a useful technique in gene expression analysis for the development of new diagnostic tools and for the;

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Statistics in Human Genetics and Molecular Biology

, and analyses of gene expression data from microarray experiments. The text introduces a diverse set of problems and a number of approaches;

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Microarray Technology Through Applications

range of concepts required to master the experimental and data analysis aspects of microarray technology. The first chapter is a concise;

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Microarray Quality Control

Microarray technology provides researchers in the life sciences with a revolutionary tool for measuring gene expression. However, this;

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Microarray Image Analysis

text focuses on improving the processes involved in the analysis of microarray image data, the methods discussed can be applied to a broad;

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Microarray Technology in Practice

oligonucleotide design, printing, labeling and hybridization, data acquisition, normalization, and meta-analysis Additional uses of microarray;

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Bayesian Analysis of Gene Expression Data

exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing;

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Batch Effects and Noise in Microarray Experiments

in microarray data.* An extensive overview of current standardization initiatives.* All datasets and methods used in the chapters, as well as colour;

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Advanced Computational Methods for Biocomputing & Bioimaging

recent availability of genomic sequences and microarray gene expression data, there is an increasing demand for developing and applying advanced;

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Principles and Methods for Data Science

, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods;

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Exploration and Analysis of DNA Microarray and Other High-Dimensional Data

of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage;

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Statistics For Microarrays

, image analysis, normalization, quality control, and statistical inference. Features many examples throughout using real data from microarray;

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