Let us finally quote the work of Samadani et al. [27] who inspired from [28] [24] and [25] to propose different Laban features quantifications, and apply their descriptors to pre-defined gestures involving hands and head, designed by motion professionals and annotated both in terms of LMA factors (on 5-point Likert scales) and emotions (six categories).
However, as an initial study of the phenomenon of change in texture feature quantification with time, we preferred to report on multiple features with and without known collinearity to document these findings as broadly as possible.
At the completion of this stage, RNA-eXpress provides summary statistics, histograms and pie charts to facilitate comparison assessments and novel feature quantification.
Peak extraction, data alignment and feature quantification were performed using the adaptive processing software (apLCMS) [ 31], a computer package designed for high-resolution metabolomics data analysis.
After calibration to obtain scans within the optimum dynamic range, image analysis and spot feature quantification were performed using BlueFuse version 3.1 (BlueGnome, Cambridge, UK).
We propose an alternative approach consisting of a region segmentation according to the intensity variation along the vertical axis and a pure statistical technique for feature quantification, i.e. morphological analysis.
In a survey of 315 random papers from PubMed that perform RNA-Seq studies and for which some method of feature quantification was employed, we found transcript level inference is quite popular, being done more than half the time.
Morphological analysis of OCT images is initially compared with the multiple image feature quantification approaches previously reported in a pilot study using a restricted patient population, i.e. all B-scans belonging to the same patient across the distinct diagnostic categories.
The validity of this morphological analysis for feature quantification has been previously demonstrated for breast tissue density classification in mammographic CAD systems and scattering image analysis, but, according to the authors' knowledge, it has not been previously performed on OCT images.
These images were characterised by standard image features, RQA quantification and the newly proposed features.
