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Although not implemented in this study, based on this experience, we recommend that future prospective retrospective studies (1) be amended to specify the predictive biomarker hypothesis as a primary objective in the clinical study protocol when the specific predictive biomarker is identified and (2) ensure a process for the evaluation of viable tumor samples at the time of enrollment.
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The scoring algorithm implemented in this study is based on a novel combination of orthogonal scoring features that could map the interaction propensity of two domains in many dimensions.
In summary, the selection criteria implemented in this study was fundamentally based on Journal papers published from 2012 to June 2017.
SPS was implemented in this study and Al2O3-base coatings with 13 and 60 wt.% of titania, respectively, were manufactured by spraying a suspension made of a mixture of Al2O3 and TiO2 particles both of 300 nm, average diameter.
This file contains information on the distribution of training set and external set molecules among active and inactive classes, cross-validation and external validation results for all the models implemented in this study and description of molecular property based descriptors used in this study.
The design method implemented in this study is a progressive approach, which is based upon a simulation with subsequent evaluations and revisions.
RDP and GARD based recombination detection methods implemented in this study showed no breakpoint event and hence recombination in VP28 sequences along with out-group [Monodon Baculovirus (MBV)] included for further phylogenetic studies.
An initial framework to address this has been implemented in this study, an approach which examined discrimination, calibration and clinical relevance, based on previous work by Steyerberg et al. [ 39, 64, 65].
For comparison, moving average based control strategy is also presented and implemented in this study.
A damage detection algorithm based on Artificial Neural Network (ANN) was implemented in this study using the statistical properties of structural dynamic responses as input for the ANN.
Three multichannel ROI based deep structured algorithms were designed and implemented in this study: convolutional neural network (CNN), deep belief network (DBN), and stacked denoising autoencoder (SDAE).
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