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Abstract Details
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Activity Number:
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187
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #301380 |
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Title:
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Sparse Principal Component Analysis (SPCA) of Wheat Microarray Data Identifies Coexpressed Genes Differentially Regulated by Cold Acclimation
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Author(s):
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Amrit B. Karki*+
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Companies:
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SDSU
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Address:
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2220 10th Street, #8, Brookings, SD, 57006, US
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Keywords:
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microarray ;
SPCA ;
Fold Change ;
preprocessing ;
expression
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Abstract:
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DNA microarray technology is a powerful tool for high-throughput analysis that has been used for the purpose of monitoring expression levels of thousands of genes simultaneously and identifying those genes that are differentially expressed. The high dimensionality of microarray data, the expression of thousands of genes in a much smaller number of samples, presents challenges that affect the validity of analytical results. A main issue in microarray transcription profiling is data mining and analysis. Statistical methods are vital for these scientific endeavors. Here three methods are used to compare data obtained from a Transcriptome analysis of cold acclimation effects on two lines of winter wheat varying in freeze survival. The line with 75 % survival was designated FR and the line with 30 % freeze survival is designated FS. The three methods consisted of fold change (FC), moderated t
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Authors who are presenting talks have a * after their name.
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