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The random load histories are generated stepwise by putting together series of load cycles, successively predicted by the modeller.
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Although no consensus has been reached, it seems that the development of multiple biomarkers for detection and risk assessment of a single cancer is favored over single comprehensive biomarkers that can successively predict risk for any type of cancer [7].
By subdomain and adenylation specificity, the next five modules (one PKS and four NRPS) are predicted to successively add a C-methylated and unsaturated acetate unit followed by O-methyl tyrosine, N-methyl alanine, N-methyl isoleucine, and proline.
To test this, we created 3 lists of target genes having a successively increasing number of predicted 63-set target sites (3 or more, 4 or more, and 5 or more which contained 1328, 697 and 382 genes, respectively) and then asked if requiring more 63-set target sites leads to an enrichment of gene functions relevant to this model, i.e. the nervous system.
Based on a bioinformatics approach, we successively changed the various predicted surface-accessible residues into alanines and investigated their properties toward inhibiting IICR as described in Figure 1.
The paired-end Illumina reads from each run were successively mapped on Setaria predicted cDNA using Bowtie2 (Langmead and Salzberg 2012).
In a naturally abundant sample each carbon in a peptide has an identical probability of being C; therefore, peptide mass distributions can be predicted by successively convolving the isotopic mass distributions of all constituent atoms, carbons and heteroatoms alike.
with stimulus type (face or control) and size (small, large or full) as within-subjects factors and dominance rank as a between-subjects covariate to predict, successively, MeanLatPeanut, MeanLatCarrot, MeanPosition and Looking.
The layers collapsed successively in the same manner as predicted in the analytical studies.
These ten segments were successively kept out of the NPLSR calibration, and predicted using an NPLSR model based on the remaining observations.
We propose a cascade architecture of ConvNets (called CamsNet) to refine progressively the predicted bone gradients in which the ConvNets work at successively increased resolutions.
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