Statistical Analysis of mRNA-miRNA Interaction

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dc.contributor.advisorCox, Daniel N.
dc.contributor.authorBhattacharya, Surajit
dc.creatorBhattacharya, Surajit
dc.date2013-04-30
dc.date.accessioned2013-12-03T20:03:51Z
dc.date.available2013-12-03T20:03:51Z
dc.date.issued2013-12-03
dc.description.abstractThe basic concept of our web tool is to develop an integrative analysis of target prediction together with miRNA and gene expression data obtained from microarray data of Drosophila. The web tool can be broadly classified into two parts: Query Section and Analysis Section. The Query Section allows users to retrieve and browse different target prediction databases including PITA, Miranda and TargetScan. The Analysis Section depends upon the statistical approach to predicting the miRNA-mRNA targets. The statistical part can be broadly classified into three components: A) The parametric (Pearson) correlation), B) Distance Correlation and C) Brownian Covariance. Statistical calculation was done in R. The graphical representation of the interaction would be obtained by ggplot, an R package.
dc.identifier.urihttps://hdl.handle.net/1920/8624
dc.language.isoen
dc.subjectMiRNA-mRNA target prediction
dc.subjectBrownian covariance
dc.subjectPearson correlation
dc.subjectDistance correlation
dc.titleStatistical Analysis of mRNA-miRNA Interaction
dc.typeThesis
thesis.degree.disciplineBioinformatics
thesis.degree.grantorGeorge Mason University
thesis.degree.levelMaster's
thesis.degree.nameMaster of Science in Bioinformatics

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