Sentence examples for robustly suggest from inspiring English sources

Overall, these significances robustly suggest an attentional modulation for both shape-based (especially at mesial-occipital electrode sites (O1 and O2) and location-based (at more lateral sites) visual-selection starting at the earliest post-stimulus latency, and, possibly, anatomical visual processing levels.

The body that shapes the clothes is robustly suggested beneath them, but the figure has an ethereality that defies the weight of paint.

It was found that these early derived SPC+ cells did not express surfactant protein A (SPA) and B (SPB), but possessed robustly proliferative capacity, suggesting that they may be early primitive progenitor cell type(s).

However, the monophyly of the three L. braziliensis isoforms was robustly resolved, which suggests, paradoxically, that they are each other's closest relatives.

Nevertheless, these data show that both VDAC1 and Pttg1 levels can be robustly determined in muscle and suggest that altered expression of these proteins in muscle may be useful as a biomarker for accompanying underlying changes in neuronal vulnerability.

These results suggest that pharmacotherapies most robustly dampened amygdala functioning in smokers appearing susceptible to abstinence-induced effects.

Thus, these results suggest that human platelets robustly express PKCδ but not PKCε, whereas mouse platelets express higher levels of PKCε and lower levels of PKCδ.

Thus, these data suggest that zebrafish can robustly report metastasis potential of different types of human cancer cells.

These results suggest that the ENMs are robustly predicting the general picture of occurrences of human monkeypox cases, even into broad areas for which no input data are available.

These strong region-region differences in ASRs are robustly observed (see the next section) and suggest genuine differences in stress outcome across different parts of the brain.

In summary, these results suggest that our method can robustly capture important MFRMs relevant to diseases when applied to RNA-Seq data.