Sentence examples for robustly different from inspiring English sources

However, in the current study, we used a larger number and variety of non-metastatic tissues to illustrate the fact that the metastatic signature is robustly different from all the non-metastatic conditions that one might use for comparison.

Finally, we graphically inspected the 96 genes that met the above criteria and manually selected genes that were robustly different between the alternate met1 genotypes at several time points.

To identify strains that are robustly different from N2, we bootstrapped the phenotype barcode data and identified strains different from N2 as ones that remained outside the N2 cluster in at least 90% of the bootstrap clusters.

The RSVP paradigm has shown robustly different early visual processing in PTSD versus Non-PTSD controls, and at the behavioural level, that it was sufficient to activate the fear-network so that patients showed intrusive memories and flashbacks [ 16, 17, 26].

In this manner, sparse and noisy wing strain data can be exploited to robustly identify different aerodynamic environments encountered in flight, providing insight into the stereotyped placement of neurons that act as strain sensors on a Manduca sexta hawkmoth wing.

This result holds robustly for different biological and synthetic networks.

The ability to robustly compare different clinical proteomics datasets would facilitate the integration of datasets from proteomics and genomics and transform the field of clinical proteomics.

BVSA algorithms were shown to perform robustly for different values of a and b, if these values correctly represent the prior knowledge of model sparsity [ 57].

[ 30] showed that random walk worked robustly against different r values, which was also confirmed by our computation (data not shown).

ENCAPP was able to predict prognostic outcome successfully for both colon and ovarian cancer (median AUCs = 0.666 and 0.766 respectively; 95% CIs for AUC = 0.658-0.674 and 0.760-0.771 resPectively; P = 0.001 and 0.097 respectively; Additional file 1: Table S1) confirming that it works robustly across different cancers.

The basic requirements for classification systems for stillbirth are to record the underlying cause of death and other relevant information to aid in understanding of the true contributors to stillbirth, to be easy to apply, and to perform robustly across different settings and classifiers.