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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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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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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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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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Deep Learning and Edge Computing Solutions for High Performance Computing

applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based;

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

of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data;

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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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Statistics For Microarrays

well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that;

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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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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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Microarray Image and Data Analysis

Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis;

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Microarray Image and Data Analysis

Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis;

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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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A Practical Approach to Microarray Data Analysis

The book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and;

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Methods of Microarray Data Analysis II

are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis II focuses on a single;

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Guide to Analysis of DNA Microarray Data

methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear;

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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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Statistical Analysis of Gene Expression Microarray Data

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists;

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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 Bioinformatics

This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data;

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Functional Genomics

This collection of robust, readily reproducible methods for microarray-based studies includes expert guidance in the optimal data analysis;

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Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R

statistics and procedures for the analysis of dose-response microarray data * Resampling-based inference and use of the SAM method for;

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New Developments in Computer Networks

of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;

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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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A Practical Approach to Microarray Data Analysis

, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added;

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