Exact(6)
The experimental results lead to a robust identification of clearly defined monotonic relationships for dielectric permittivity and electrical conductivity.
We therefore used the double marker CD34+ CD133+ as it gave a robust identification of the SCID repopulating cells whereas the single markers varied more from culture to culture due to poor separation in some cultures.
While the statistics on ρ-values for backbone hydrogen bonds vary with the radius, the tails of the distribution remain invariant, thus enabling a robust identification of structural deficiencies [4], [18].
The 122 fully informative markers mapped, allowed a robust identification of homologous pairs of linkage groups of the E. grandis and E. urophylla genomes.
The aim of this method is a robust identification of homogeneous portions of the signal, correctly dealing with the presence of sudden changes in intensity at different tissue interfaces as a result of differences in the backscattering coefficient µb.
Therefore adequate mathematical models of ChIP-based high-throughput assay(s) and statistical tools are required for a robust identification of specific and reliable TF binding sites (TFBS), a precise characterization of TFBS avidity distribution and a plausible estimation the total number of specific TFBS for a given TF in the genome for a given cell type.
Similar(54)
Optimization of the assembly parameters and mapping functionally annotated PUTs is a key parameter to provide a robust identification and classification of the AS events.
To analyze the data, we developed a novel algorithm for the analysis of two-color arrays that allows for a statistically robust identification of candidate spliced genes in absence of a prior hypothesis about the contributing isoforms.
The integration of effect-based tools and 'comprehensive' NTS techniques has the potential to result in a more robust identification of priority CECs.
Thus, the main advantage of developing large numbers of high quality reference 3′ contigs for SNP discovery is that in theory it will enable a more robust identification of common transcripts and nucleotide variants when 3′-cDNA data from other genotypes is assembled against them.
Despite this popular method has been validated by the statistician community [ 50], we recommend sequencing biological replicates rather than pooling them prior sequencing in future RNAseq analyses, as sequencing costs are now acceptable and the later approach allows a more robust identification of genes affected by variations across conditions.
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