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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Douglas A. Lauffenburger and Peter K. Sorger.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Duggar, Keith Howard, 1976-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Chemical Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Chemical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2005-10-14T20:35:39Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2004</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2004.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 65-66).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Gene expression arrays are a technology used to measure quantities of messenger ribonucleic acid (mRNA). Application of the technology involves a variety of physical processes beginning with the acquisition of mRNA samples and ending with the fluorescence imaging of a gene expression array. This thesis examines these physical processes, develops a mechanistic model, and derives the analysis procedure based on the model. Chief advantages of this approach are that it accounts for certain previously unexplained array phenomena and is based in a clear way on physical knowledge allowing non-arbitrary determination of both the probability that any given gene has altered expression ratio relative to a control as well as the magnitude of this induction or repression. We demonstrate its use on simulated and real array data, and show that a considerable amount of previously unrecognized information concerning gene expression differences is inherent in the array measurements.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Keith Howard Duggar.</dim:field>
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   <dim:field mdschema="dc" element="title" lang="en_US">Modeling and analysis of gene expression arrays</dim:field>
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   	&lt;Title>Modeling and analysis of gene expression arrays&lt;/Title>
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   	&lt;Abstract>Gene expression arrays are a technology used to measure quantities of messenger ribonucleic acid (mRNA). Application of the technology involves a variety of physical processes beginning with the acquisition of mRNA samples and ending with the fluorescence imaging of a gene expression array. This thesis examines these physical processes, develops a mechanistic model, and derives the analysis procedure based on the model. Chief advantages of this approach are that it accounts for certain previously unexplained array phenomena and is based in a clear way on physical knowledge allowing non-arbitrary determination of both the probability that any given gene has altered expression ratio relative to a control as well as the magnitude of this induction or repression. We demonstrate its use on simulated and real array data, and show that a considerable amount of previously unrecognized information concerning gene expression differences is inherent in the array measurements.&lt;/Abstract>
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