In our tests aforementioned data processing method resulted in more than 90% correctly selected movements (compared to healthy grasping) based on the generalized dataset of 25 objects in several different orientations.
GeoPAT is designed to identify and analyze complex, highly generalized classes in spatial datasets.
Next, we subjected the coordinates of the Type II landmarks and slid semi-landmarks of both datasets to generalized Procrustes analysis (GPA) [ 50, 51].
For the concatenated unpartitioned MLST dataset, a generalized time-reversible (GTR) evolutionary model with inverse-gamma distribution was selected as the best-fit model.
In each simulated dataset, the benefit of treatment on the outcome was first estimated by fitting a logistic model applied to the PS-matched dataset using generalized estimating equations with robust variance estimator (package gee for R, Vincent J Carey, Thomas Lumley and Brian Ripley).
Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data.
In Section 3, we describe (i) dataset preparation; (ii) generalized HMMs; (iii) the generalized footprint state structure for gene finding; (iv) the measures of accuracy used.
However, this creates difficulties of interpretation, and other more theoretically grounded metrics that take into account the difference in the level of precision between the original dataset and the generalized data have been suggested [ 5].
Five replicates of each dataset were generated and analyzed with a generalized prior (g-prior) of varying weight.
