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In order to eliminate the subtle differences in the reagent components between the final elution buffers from multiple extraction platforms and to minimize variability within samples our approach was to perform the DNA extraction using a common extraction platform, conditions and protocol.
Due to the deficiency of positive samples, our approach samples useful unlabeled data iteratively to boost the performance of hot spots prediction.
Across these various population samples, our approach strengthens the relevance of this classification, exhibiting an overall positive association with RA susceptibility for S2 and S3P alleles and an overall negative association with RA susceptibility for S1 and X alleles.
In spectral clustering, for each sample we evaluate the average of the distances with its 5 nearest neighbors and select σ as the average over all the considered samples Our approach to feature selection is the l1- l2 regularization with double optimization described in [ 38].
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Some examples of expression recognition results are shown in Figure 2. The experimental results show that, despite using a mini-sized database of training samples, our approaches can also construct a robust recognition system, which is comparable to state-of-the-art methods.
In addition to the obvious gain in time when estimating the expression of transcripts for a single gene and a single sample, our approach makes the task amenable in a reasonable amount of time for all genes in a large number of samples.
By focusing sequencing efforts only on those tags flanking a restriction site in multiplexed samples, our novel approach provides significant data complexity reduction and increased throughput.
Although we only studied a limited number of serum samples, our extensive approach allowed us to draw several conclusion based on our observations.
However, the costs of whole-genome sequencing have so far limited single study sample sizes to <3000 <span class="lh">samples, and our approach had the advantage that we were well powered to detect many common variant common phenotype associations.
As expected, a higher fraction of elevated SDH score was observed in high cellularity samples, indicating that chromosomal instability is more difficult to identify in heterogeneous samples using our approach.
Strong associations with seven genes were replicated in the Scandinavian samples and our approach effectively replicated the strongest previously known association in clefting with IRF6.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com