Measures of association for identifying microRNA-mRNA pairs of biological interest.

MicroRNAs are a class of small non-protein coding RNAs that play an important role in the regulation of gene expression. Most studies on the identification of microRNA-mRNA pairs utilize the correlation coefficient as a measure of association. The use of correlation coefficient is appropriate if the...

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Autores principales:	Vivek Jayaswal, Mark Lutherborrow, Yee Hwa Yang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9dc20525ea4b4a26b5d03639afb9165b
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spelling	oai:doaj.org-article:9dc20525ea4b4a26b5d03639afb9165b2021-11-18T07:30:31ZMeasures of association for identifying microRNA-mRNA pairs of biological interest.1932-620310.1371/journal.pone.0029612https://doaj.org/article/9dc20525ea4b4a26b5d03639afb9165b2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22253745/?tool=EBIhttps://doaj.org/toc/1932-6203MicroRNAs are a class of small non-protein coding RNAs that play an important role in the regulation of gene expression. Most studies on the identification of microRNA-mRNA pairs utilize the correlation coefficient as a measure of association. The use of correlation coefficient is appropriate if the expression data are available for several conditions and, for a given condition, both microRNA and mRNA expression profiles are obtained from the same set of individuals. However, there are many instances where one of the requirements is not satisfied. Therefore, there is a need for new measures of association to identify the microRNA-mRNA pairs of interest and we present two such measures. The first measure requires expression data for multiple conditions but, for a given condition, the microRNA and mRNA expression may be obtained from different individuals. The new measure, unlike the correlation coefficient, is suitable for analyzing large data sets which are obtained by combining several independent studies on microRNAs and mRNAs. Our second measure is able to handle expression data that correspond to just two conditions but, for a given condition, the microRNA and mRNA expression must be obtained from the same set of individuals. This measure, unlike the correlation coefficient, is appropriate for analyzing data sets with a small number of conditions. We apply our new measures of association to multiple myeloma data sets, which cannot be analyzed using the correlation coefficient, and identify several microRNA-mRNA pairs involved in apoptosis and cell proliferation.Vivek JayaswalMark LutherborrowYee Hwa YangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 1, p e29612 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Vivek Jayaswal Mark Lutherborrow Yee Hwa Yang Measures of association for identifying microRNA-mRNA pairs of biological interest.
description	MicroRNAs are a class of small non-protein coding RNAs that play an important role in the regulation of gene expression. Most studies on the identification of microRNA-mRNA pairs utilize the correlation coefficient as a measure of association. The use of correlation coefficient is appropriate if the expression data are available for several conditions and, for a given condition, both microRNA and mRNA expression profiles are obtained from the same set of individuals. However, there are many instances where one of the requirements is not satisfied. Therefore, there is a need for new measures of association to identify the microRNA-mRNA pairs of interest and we present two such measures. The first measure requires expression data for multiple conditions but, for a given condition, the microRNA and mRNA expression may be obtained from different individuals. The new measure, unlike the correlation coefficient, is suitable for analyzing large data sets which are obtained by combining several independent studies on microRNAs and mRNAs. Our second measure is able to handle expression data that correspond to just two conditions but, for a given condition, the microRNA and mRNA expression must be obtained from the same set of individuals. This measure, unlike the correlation coefficient, is appropriate for analyzing data sets with a small number of conditions. We apply our new measures of association to multiple myeloma data sets, which cannot be analyzed using the correlation coefficient, and identify several microRNA-mRNA pairs involved in apoptosis and cell proliferation.
format	article
author	Vivek Jayaswal Mark Lutherborrow Yee Hwa Yang
author_facet	Vivek Jayaswal Mark Lutherborrow Yee Hwa Yang
author_sort	Vivek Jayaswal
title	Measures of association for identifying microRNA-mRNA pairs of biological interest.
title_short	Measures of association for identifying microRNA-mRNA pairs of biological interest.
title_full	Measures of association for identifying microRNA-mRNA pairs of biological interest.
title_fullStr	Measures of association for identifying microRNA-mRNA pairs of biological interest.
title_full_unstemmed	Measures of association for identifying microRNA-mRNA pairs of biological interest.
title_sort	measures of association for identifying microrna-mrna pairs of biological interest.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/9dc20525ea4b4a26b5d03639afb9165b
work_keys_str_mv	AT vivekjayaswal measuresofassociationforidentifyingmicrornamrnapairsofbiologicalinterest AT marklutherborrow measuresofassociationforidentifyingmicrornamrnapairsofbiologicalinterest AT yeehwayang measuresofassociationforidentifyingmicrornamrnapairsofbiologicalinterest
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Measures of association for identifying microRNA-mRNA pairs of biological interest.

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