1 undly affects standing variation and genetic correlations.
2 -up of significant dynamic antiferromagnetic correlations.
3 dance of specific microorganisms and genetic correlations among them in the gut microbiota of two lin
4 We show that correlations among these three data sets are consistent
5 Over-representation of correlation analysis (ORCA) is a novel combination of OR
6 sis (ORCA) is a novel combination of ORA and correlation analysis that provides a means to test wheth
7 Estimates of the level of such noise correlations are diverse, ranging from 0.01 to 0.4, with
8 on in the majority of structures, though the correlations are generally weak (correlation coefficient
9 Such correlations are thought to limit information, which has
10 influenza vaccine (TIV) in humans revealed a correlation between early expression of TLR5 and the mag
11 We identify an inverse correlation between EMSY amplification and miR-31 expres
12 we observed, for specific exons, an inverse correlation between exon expression level in brain and b
13 ritical for fusion activity and elucidated a correlation between fusion activity and viral load in mi
14 We also found that the maximum correlation between genetic differentiation and geograph
15 We observed a significant correlation between in vivo (dual-tracer) and ex vivo me
16 ive to inhibition by salts, but there was no correlation between the clades and substrate specificity
17 Here, we show a direct correlation between the single-molecule nanomechanical p
18 A correlation between the strength of the chiral spin torq
19 ion in CD4(+) T cells, as well as an inverse correlation between them.
20 There were also close correlation between these proteins and GRP78.
21 long chromatin revealed significant positive correlations between H3- and H4-acetylated histones, BET
22 and paying attention to two key properties: correlations between inputs and noise in neural response
23 Despite this, correlations between measures were weak.
24 to cognitive function, we noted significant correlations between neuronal volumes and total CAMCOG,
25 duplications (SDs) and further revealed the correlations between SD properties and NAHR probability.
26 hold, fluctuations became more Gaussian, and correlations between single neurons and the surrounding
27 All four synapse types showed positive correlations between the IMP-cluster area and the AMPAR
28 rred in a mosaic fashion, with less positive correlations between the IMP-cluster area and the NMDAR
29 on of the traffic and attains a high Pearson correlation coefficient (0.75) when compared with real t
30 ficantly associated across clusters (Pearson correlation coefficient [PCC] = 0.36; 95% confidence int
31 greement was assessed by using an intraclass correlation coefficient.
32 though the correlations are generally weak (correlation coefficients of 0.1-0.4).
33 we determine the spatial and time-dependent correlations, extract the shape of the light cone and me
34 ntify a change in the long-time decay of the correlation function at the known freezing points of mon
35 These results may explain the poor correlation in females of SNA with adiposity, or of MAP
36 We find that the level of inter-subject correlation in the evoked encephalographic responses pre
37 We found that higher order correlations in natural scenes induced a sparser code, i
38 o underlie trans eQTL hotspots confirmed the correlation of effects on mRNA and protein levels.
39 Close biological correlation of pigmentation patterns suggested that beta
40 ght cone and measure the velocity with which correlations propagate through the system.
41 The technique of X-ray Photon Correlation Spectroscopy (XPCS) is reviewed as a method
42 nation of dilution experiments, X-ray photon correlation spectroscopy, small angle X-ray scattering,
43 In vivo, noise correlations tend to be positive and proportional to the
44 en arterial pressure and sodium excretion, a correlation that is often erroneously presented as the '
45 ntrast polarity of moving edges using triple correlations that enhance motion estimation in natural e
46 After converting rt and peak shape correlation to statistical scores, an SVM classifier is
47 udies to affect our ability to discover true correlations to a small extent.
48 rotein abundance showed significant positive correlations (up to 0.8) for log-transformed length-weig
49 nd FSHD2 individuals and found a significant correlation with the D4Z4 repeat array size.
50 Neuroimaging in epilepsy has progressed from correlations with demographic, semiologic, neuropsycholo
WebLSDに未収録の専門用語（用法）は "新規対訳" から投稿できます。