Exact(1)
In this study, expression of all predicted target genes of three lung-enriched miRNAs was examined in different subtypes of lung cancer without relating to matched miRNA expression.
Similar(59)
To determine whether miRNAs could bind to their putative target sites in luciferase reporter, C33A cells were co-transfected with target luciferase reporter or mutated target reporter, and with matched miRNAs expression vector.
Because BayMiR estimates the activity of miRNAs based on mRNA expression data, there is no need for matching miRNA expression profiles.
We estimate the values of α and β using matched miRNA and mRNA expression profiles; the expression profiles correspond to normalized log2 fold-change values with respect to a reference.
These associations are obtained using matched miRNA and mRNA expression data.
Current identification methods primarily are based upon miRNA-target information and matched miRNA and mRNA expression profiles.
We do not have a data set of matched miRNA and gene expression profiles available for bladder cancer.
Thus, the PPA was reliable to perform on matched miRNA and mRNA expression profiles and identify biologically meaningful miRNA-mRNA modules.
We applied the PPA to the matched miRNA and mRNA expression profiles of MM and produced 2204 comodules which contains mRNAs, miRNAs, and samples.
In this study, we integrated the Ping-Pong algorithm and multiobjective genetic algorithm to identify subtype specific miRNA-mRNA functional regulatory modules (MFRMs) through integrative analysis of three biological data sets: GO biological processes, miRNA target information, and matched miRNA and mRNA expression data.
Using a large dataset of matched miRNA and gene expression profiles in normal mucosa, primary cancer and metastasis, we describe the interplay of modulated miRNA groups in the regulation of gene expression, which in turn affects modulated pathways important for tumor development.
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