Finite mixture clustering of human tissues with different levels of IGF-1 splice variants mRNA transcripts.

ABSTRACT:

Background

This study addresses a recurrent biological problem, that is to define a formal clustering structure for a set of tissues on the basis of the relative abundance of multiple alternatively spliced isoforms mRNAs generated by the same gene. To this aim, we have used a model-based clustering approach, based on a finite mixture of multivariate Gaussian densities. However, given we had more technical replicates from the same tissue for each quantitative measurement, we also employed a finite mixture of linear mixed models, with tissue-specific random effects.

Results

A panel of human tissues was analysed through quantitative real-time PCR methods, to quantify the relative amount of mRNA encoding different IGF-1 alternative splicing variants. After an appropriate, prelim

SUBMITTER: Pelosi M 

PROVIDER: S-EPMC4570607 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature