Sentence examples for distinguished control from inspiring English sources

Exact(2)

The three well-established CSF biomarkers for AD – levels of tau, phosphorylated tau and Aβ42 – distinguished control and AD patients much better than did soluble oAβ levels determined by the current o-ELISA.

Furthermore, while earlier ToF-SIMS analyses of cellulase activity on spruce samples distinguished control and enzyme treated samples by unambiguous enrichment of polysaccharide and lignin peaks, respectively [ 1], in the present study, the PC2 loadings plot described the control samples by both polysaccharide and lignin-descriptive peaks.

Similar(58)

Analysis of muscle samples revealed 19, 22, and 7 proteins that distinguished young control mice from young ob/ob, db/db, and HFD-fed mice, respectively, and 5, 12, and 13 proteins that distinguished old control mice from old ob/ob, db/db, and HFD-fed mice, respectively (Table  1).

Whole brain analysis of group-by-empathy interaction revealed that when participants judged the behavior during the attribution phase, several brain regions implicated in mentalizing distinguished patients from controls: In healthy controls, neural activity scaled negatively with empathy, but this relationship was reversed in BPD patients.

Most of the genes that were differentially expressed in the familial IIP belonged to the same functional categories as those that distinguished IIP from control samples, but they were over- or under-expressed to a greater extent in familial IIP than in all cases of IIP [ 32].

That could be because most of the information provided by IL-3 that distinguished cases and controls was in the excluded samples.

GDF-15 distinguished HFpEF from controls with an AUC of 0.936.

We also sought to identify proteins that both distinguished cases from controls and were altered by E-alone or E+P as candidate biomarkers for elucidation of hormone therapy effects on these diseases [ 1- 6].

The distinguished feature of the control system architecture is that high tracking performance and good external disturbance rejection could be done separately by a nominal Smith predictor part and a finite dimensional conditional controller.

Our correlational analysis supported this finding as these correlations showed that reading related variation in identifying sounds was significant for the combined groups and distinguished RD and CA control readers.

We recently published a whole lung tissue-based gene signature that distinguished IPF from normal controls by using Bayesian probit regression (BPR) to develop the signature [ 12].

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