Taken together, the pattern and extent of gene expression determined by qRT-PCR analysis is consistent with the RNA-Seq analysis, thus confirming the consensus between these two methodologies and validating our RNA-Seq-based gene expression analysis.
This article presents such a methodology and validates it against the established approach, for four common predictors.
To establish an in vivo, normative patellofemoral (PF) cartilage contact mechanics database acquired during voluntary muscle control using a novel, dynamic, magnetic resonance (MR) imaging-based, computational methodology and validate the contact mechanics sensitivity to the known sub-millimeter methodological accuracies.
The purpose of the paper is to present the convexifying methodology and validate the necessary approximations by comparing with results obtained by Dynamic Programming when using the original nonlinear, non-convex, mixed-integer models.
This issue may be addressed through the use of contemporary methodology and validated animal models.
BC reviewed the literature, established the statistical methodology and validated the array platform.
We developed the analytical methodology and validated a data processing procedure which can be applied to any organism.
The methodology developed and validated by a European consortium composed by members of the ASLERD Association for Smart Learning Ecosystem and Regional Developmentnt (www.aslerd.org) – has been used to benchmark the smartness of the Aveiro University, Portugal.
This work proposes a GPR signal processing methodology, calibrated and validated on the basis of a consistent amount of data collected by means of laboratory-scale tests, to assess the performance of the above standard test methods for GPR systems.
The mean EPI image was warped to roughly match the non-EPI T2 star volume using the methodology developed and validated by Villain et al. [54] to reduce geometric distortions.
The methodology developed and validated for comparative ranking of the diagnostic tests for detecting UC, may be further applied to other cancer diagnostic datasets across population groups and multiple datasets.
