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Gene Expression Profiling by Microarrays

Microarray analysis is a highly efficient tool for assessing the expression of a large number of genes simultaneously, and offers a new;

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Gene Expression Studies Using Affymetrix Microarrays

, and biostatistics by explaining the entire process of a gene expression study from conception to conclusion. Truly Multidisciplinary;

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Gene Expression Studies Using Affymetrix Microarrays

, and biostatistics by explaining the entire process of a gene expression study from conception to conclusion. Truly Multidisciplinary;

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Microarray Gene Expression Data Analysis

that are available from non--commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever;

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Measuring Gene Expression

In the post-genomic age, much biomedical research looks at when, where, and at what level genes are expressed. Measuring Gene Expression;

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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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Expression Profiling in Neuroscience

laboratory protocols, and step-by-step methods for reproducible laboratory experiments. Detailed and authoritative, Expression Profiling;

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Expression Profiling in Neuroscience

laboratory protocols, and step-by-step methods for reproducible laboratory experiments. Detailed and authoritative, Expression Profiling;

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DNA Microarrays and Gene Expression

snapshot of the level of expression of all the genes in the cell. Such snapshots can be used to study fundamental biological phenomena such as;

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Bayesian Modeling in Bioinformatics

expression and phylogenic analysis. The book explores Bayesian techniques and models for detecting differentially expressed genes, classifying;

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Bayesian Modeling in Bioinformatics

expression and phylogenic analysis. The book explores Bayesian techniques and models for detecting differentially expressed genes, classifying;

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Sage

In the post-genomic era SAGE (Serial Analysis of Gene Expression) is one of the most powerful tools available for global expression;

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Advances in Cancer Research

progression of human cancer; seizing of T-cells by human T-cell leukemia/lymphoma virus type II; host cell dependent expression of latent Epstein-Barr;

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Nucleic Acid Testing for Human Disease

, microarrays, bead-based multiplex assays, in situ hybridization, and SNP techniques. This book discusses RNA expression profiling and laboratory;

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Nucleic Acid Testing for Human Disease

, microarrays, bead-based multiplex assays, in situ hybridization, and SNP techniques. This book discusses RNA expression profiling and laboratory;

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DNA Microarrays

DNA microarrays, or biochips, are small glass chips embedded with ordered rows of DNA and by providing a massive parallel platform for data;

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Advances in Computational Biology

: Gene regulation, Gene expression databases, Gene pattern discovery and identification, Genetic network modeling and inference, Gene expression;

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Genomic and Proteomic Techniques: In Post Genomics Era

miniaturized high throughput technique, DNA microarrays, tailored for studying genome-scale genotyping and gene-expression profiling. An overview;

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Microarrays

, which has propelled a much deeper understanding of the genome. By combining these technological advances in microarrays with statistical and;

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Comparative Genomics

rest of the DNA do? The answer to this question will be determined by computer prediction, expression profiling, and comparative genome;

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Functional Genomics and Proteomics in the Clinical Neurosciences

achieving the goal of global mRNA analysis, mRNA is not the functional endpoint of gene expression and mRNA expression may not directly equate with;

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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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Genome Data Analysis

filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping;

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Statistical Analysis of Gene Expression Microarray Data

vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the;

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A Practical Approach to Microarray Data Analysis

and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by;

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