Identification of co-regulated transcripts affecting male body size in Drosophila

by: Cynthia Coffman, Marta Wayne, Sergey Nuzhdin, Laura Higgins, Lauren Mcintyre

Genome Biology, Vol. 6, No. 6. (2005)

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Abstract

Factor analysis is an analytic approach that describes the covariation among a set of genes through the estimation of 'factors', which may be, for example, transcription factors, microRNAs (miRNAs), and so on, by which the genes are co-regulated. Factor analysis gives a direct mechanism by which to relate gene networks to complex traits. Using simulated data, we found that factor analysis clearly identifies the number and structure of factors and outperforms hierarchical cluster analysis. Noise genes, genes that are not correlated with any factor, can be distinguished even when factor structure is complex. Applied to body size in Drosophila simulans, an evolutionarily important complex trait, a factor was directly associated with body size.

@article{citeulike:1460126, abstract = {Factor analysis is an analytic approach that describes the covariation among a set of genes through the estimation of 'factors', which may be, for example, transcription factors, microRNAs (miRNAs), and so on, by which the genes are co-regulated. Factor analysis gives a direct mechanism by which to relate gene networks to complex traits. Using simulated data, we found that factor analysis clearly identifies the number and structure of factors and outperforms hierarchical cluster analysis. Noise genes, genes that are not correlated with any factor, can be distinguished even when factor structure is complex. Applied to body size in Drosophila simulans, an evolutionarily important complex trait, a factor was directly associated with body size.}, author = {Coffman, Cynthia and Wayne, Marta and Nuzhdin, Sergey and Higgins, Laura and Mcintyre, Lauren }, citeulike-article-id = {1460126}, doi = {http://dx.doi.org/10.1186/gb-2005-6-6-r53}, journal = {Genome Biology}, keywords = {discovery, factor\_analysis, gene, network}, number = {6}, posted-at = {2007-07-16 22:08:47}, priority = {4}, title = {Identification of co-regulated transcripts affecting male body size in Drosophila}, url = {http://dx.doi.org/10.1186/gb-2005-6-6-r53}, volume = {6}, year = {2005} }

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TY - JOUR ID - citeulike:1460126 L3 - citeulike-article-id:1460126 TI - Identification of co-regulated transcripts affecting male body size in Drosophila JF - Genome Biology VL - 6 IS - 6 N2 - Factor analysis is an analytic approach that describes the covariation among a set of genes through the estimation of 'factors', which may be, for example, transcription factors, microRNAs (miRNAs), and so on, by which the genes are co-regulated. Factor analysis gives a direct mechanism by which to relate gene networks to complex traits. Using simulated data, we found that factor analysis clearly identifies the number and structure of factors and outperforms hierarchical cluster analysis. Noise genes, genes that are not correlated with any factor, can be distinguished even when factor structure is complex. Applied to body size in Drosophila simulans, an evolutionarily important complex trait, a factor was directly associated with body size. KW - discovery KW - factor_analysis KW - gene KW - network AU - Coffman, Cynthia AU - Wayne, Marta AU - Nuzhdin, Sergey AU - Higgins, Laura AU - Mcintyre, Lauren PY - 2005/// UR - http://dx.doi.org/10.1186/gb-2005-6-6-r53 ER -

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