Impact of gene expression data pre-processing on expression quantitative trait locus mapping
نویسندگان
چکیده
منابع مشابه
Impact of gene expression data pre-processing on expression quantitative trait locus mapping
We evaluate the impact of three pre-processing methods for Affymetrix microarray data on expression quantitative trait locus (eQTL) mapping, using 14 CEPH Utah families (GAW Problem 1 data). Different sets of expression traits were chosen according to different selection criteria: expression level, variance, and heritability. For each gene, three expression phenotypes were obtained by different...
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Coordinated regulation of gene expression levels across a series of experimental conditions provides valuable information about the functions of correlated transcripts. The consideration of gene expression correlation over a time or tissue dimension has proved valuable in predicting gene function. Here, we consider correlations over a genetic dimension. In addition to identifying coregulated ge...
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متن کاملMapping quantitative trait loci for expression abundance.
Mendelian loci that control the expression levels of transcripts are called expression quantitative trait loci (eQTL). When mapping eQTL, we often deal with thousands of expression traits simultaneously, which complicates the statistical model and data analysis. Two simple approaches may be taken in eQTL analysis: (1) individual transcript analysis in which a single expression trait is mapped a...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2007
ISSN: 1753-6561
DOI: 10.1186/1753-6561-1-s1-s153