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Advanced Analysis of Gene Expression Microarray Data

book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the;

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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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Analysis of Microarray Gene Expression Data

technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the;

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Gene Expression Data Analysis

of analyzing gene expression data with an example case study. Clustering methods for finding co-expression patterns from microarray, bulkRNA and scRNA;

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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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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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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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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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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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DNA Methylation Microarrays

data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply;

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DNA Methylation Microarrays

data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply;

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Microarrays for an Integrative Genomics

fruitful new areas of biology. The growing use of DNA microarrays allows researchers to assess the expression of tens of thousands of genes at a;

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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 Technology in Practice

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

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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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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline;

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Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline;

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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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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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Microarray Image Analysis

-maximization (EM) algorithm for modeling gene regulatory networks from gene expression time series data. The final chapter describes the overall;

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Meta-analysis and Combining Information in Genetics and Genomics

-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray;

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Meta-analysis and Combining Information in Genetics and Genomics

-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray;

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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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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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A Biologist's Guide to Analysis of DNA Microarray Data

A Biologist's Guide to Analysis of DNA Microarray Data Steen Knudsen Microarrays are low-density arrays of DNA molecules that permit many;

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