In the cross-validation 4/5 of the data were applied to estimate the optimal model parameter α, and the remaining 1/5 of the data was next used as test set and predicted using this optimal value of α.
To identify GSK3 homologs we used a reciprocal blast strategy: nucleotide sequences of Arabidopsis GSK3 genes [ 10] were first used to seed tblastx searches to identify potential GSK3 homologs in the above sequence data bases, and these were next used as queries in tblastx searches of all Arabidopsis genes.
The CK17/TBP, SCCA/TBP, and PVA/TBP mRNA values were next used to analyse data according to patient status as determined by serial sections and IHC analyses (Table 2).
After the ML-based acoustic model training stage, a universal background model (UBM) is built from speaker-transformed training data, which is next used to train an SGMM employed in the decoding stage to generate the word lattices.
After the ML-based acoustic model training stage, a universal background model (UBM) is built from speaker-transformed training data, which is next used to train a Subspace GMM (SGMM) employed in the decoding stage to generate word lattices and word sequences.
PCA was next used to identify independent dimensions that capture most of the information in the data.
To sharpen the separation between our two groups, data were next analyzed using a partial least squares discriminant analysis (PLS-DA) to further determine which metabolites were responsible for separating these two groups.
Next, these data were used to calibrate the DSSAT-CERES wheat and maize models, which were then used to run three climate projections representing the maximum, intermediate and minimum courses of climate development within the RCP 8.5 continuum during the years 2021 2050.
Large-scale transcriptome data were obtained using a next-generation sequencing platform to compensate for the lack of P. tabuliformis genomic information.
Data were processed using a high-throughput next-generation sequencing analysis pipeline.
