WebWe apply a multivariate statistical method, co-inertia analysis (CIA), to visualise gene and proteomic expression data stemming from the same biological samples. Principal … WebMay 30, 2006 · Co-inertia analysis (CIA) is an unsupervised method that seeks to maximise the covariance between a pair of transformed datasets that can be combined …

Integrative Exploratory Analysis of Two or More Genomic …

WebJul 17, 2024 · Analysis of Co-inertia Between Stoneflies and Environmental Variables. The CIA strongly supported the existence of co-structure between environmental variables and the stonefly community: The co-structure described by the first two axes of co-inertia represented 94.4 % of total inertia (Fig. 5a-f). These axes revealed good … WebCo-inertia analysis (CIA) is a multivariate method that identifies trends or co-relationships in multiple datasets which contain the same samples. That is the rows or columns of the … bio rad quick start bradford

[PDF] Simultaneous analysis of distinct Omics data sets with ...

WebJun 30, 2016 · The CIA included five different sequence based miR target prediction algorithms and the Co-expression Meta-analysis of miR Targets. For the experimental validation of expression of miRs identified by the CIA we used tissue from 36 CAKUT patients and 9 controls. WebMay 29, 2014 · To leverage the potential of multi-omics studies, exploratory data analysis methods that provide systematic integration and comparison of multiple layers of omics information are required. We describe multiple co-inertia analysis (MCIA), an exploratory data analysis method that identifies co-relationships between multiple high dimensional … Webcia.nf An integer indicating the number of kept axes cia.scan A logical indicating whether the co-inertia analysis eigenvalue (scree) plot should be shown so that the number of axes, (cia.nf) can be selected interactively. De-fault value is FALSE. nsc A logical indicating whether multiple co-inertia analysis should be performed biorad protein assay mixture