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Microarray deconvolution: a web application

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Date Issued:
2013
Summary:
Microarray gene expression profiling is used in biology for a variety of purposes including identifying disease biomarkers or understanding cellular processes. Biological samples composed of multiple cell or tissue types pose a problem because different compositions of cell-types in samples affect the gene expression profile and also the expression profile of individual components of the sample may be of interest. Physical methods to separate mixed samples are time-consuming and expensive. Consequently, several computational methods have been developed to deconvolute heterogeneous samples into individual components. Different software packages and applications are available to perform these calculations. Microarray Deconvolution is a web application that provides a simple-to-use interface that fills some gaps left by other packages in performing heterogeneous sample microarray deconvolution including microarray raw data processing and normalization, cell-type proportion estimation and simple linear deconvolution.
Title: Microarray deconvolution: a web application.
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Name(s): Canny, Stephanie, author
Petrie, Howard, Thesis advisor
Khoshgoftaar, Taghi M., Thesis advisor
College of Engineering and Computer Science, Degree grantor
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: Spring 2013
Date Issued: 2013
Publisher: Florida Atlantic University
Physical Form: Online Resource
Extent: 89 p.
Language(s): English
Summary: Microarray gene expression profiling is used in biology for a variety of purposes including identifying disease biomarkers or understanding cellular processes. Biological samples composed of multiple cell or tissue types pose a problem because different compositions of cell-types in samples affect the gene expression profile and also the expression profile of individual components of the sample may be of interest. Physical methods to separate mixed samples are time-consuming and expensive. Consequently, several computational methods have been developed to deconvolute heterogeneous samples into individual components. Different software packages and applications are available to perform these calculations. Microarray Deconvolution is a web application that provides a simple-to-use interface that fills some gaps left by other packages in performing heterogeneous sample microarray deconvolution including microarray raw data processing and normalization, cell-type proportion estimation and simple linear deconvolution.
Identifier: FA00004243 (IID)
Note(s): Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2013.
Held by: Florida Atlantic University Digital Library
Sublocation: Boca Raton, Fla.
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00004243
Restrictions on Access: All rights reserved by the source institution
Restrictions on Access: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU