Titlebook: Biostatistical Methods; Stephen W. Looney Book 2002 Humana Press 2002

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Learning Queer Identity in the Digital Agend growth, ability to adapt to and change local environments, and susceptibility to potentially therapeutic agents. These pursuits have led to important advances in the understanding of cancer biology, and in selected instances, have led to the development and use of treatments designed to act on molecular targets.

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Introduction to Microarray Experimentation and Analysis,red in a single experiment, scientists have a large window into the workings of a biological system. This is in contrast to use of more traditional approaches such as Northern blots, which limit research to one-gene-at-a-time experiments.

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Statistical Methods for Proteomics,eome than genes in genome (which is particularly true for eukaryotes). For instance, there are several ways to splice a gene to generate messenger ribonucleic acid (mRNA). Furthermore, proteins can undergo posttranslational alterations such as truncation at the amino- (N)- and carboxy (C)-terminus and addition of saccharide or phosphate groups.

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Statistical Considerations in Assessing Molecular Markers for Cancer Prognosis and Treatment Efficand growth, ability to adapt to and change local environments, and susceptibility to potentially therapeutic agents. These pursuits have led to important advances in the understanding of cancer biology, and in selected instances, have led to the development and use of treatments designed to act on molecular targets.

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Introduction to Microarray Experimentation and Analysis,ies are called .. The sample mRNA can be extracted from human tissue, plant material, or even yeast. Because thousands of these sequences can be measured in a single experiment, scientists have a large window into the workings of a biological system. This is in contrast to use of more traditional ap

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