ライフサイエンスコーパス: correlation

1 s computed by STELLS2 and STELLS have strong correlation.

2 acted biological data using in vitro-in vivo correlations.

3 orces and thus strong optomechanical quantum correlations.

4 ated loci and these links reflect phenotypic correlations.

5 dioxide (VO2) is a canonical example of such correlations.

6 BERSORT and a method based on robust partial correlations.

7 es ranged from weak to moderate (|Spearmen's correlation| = 0.002-0.65).

8 samples heated with hot air, the best linear correlation achieved was R(2)=0.90 and by microwave was

9 e relation between phase and cochlear-scaled correlations also showed preferential processing in 2 di

10 o depends on the relationship between signal correlations, associated with neuronal receptive fields,

11 ed with neuronal receptive fields, and noise correlations, associated with neuronal response variabil

12 sample viscosity using image processing and correlation-based algorithms.

13 Our clinical and experimental data suggest a correlation between age at disease onset, response to so

14 The most significant and uniform correlation between any material property of each bead a

15 of the variation in crowding, including the correlation between crowding and saccades.

16 nventional thermal age model, but we find no correlation between DNA fragmentation and sample age ove

17 positive, compatible with observed positive correlation between genome size and effective population

18 mposition was heterogeneous, but there was a correlation between NET complexes and both microbiota di

19 e Dawley rats (3-4 months) revealed a direct correlation between serum E2 levels and pLTF expression

20 pected findings of an investigation into the correlation between the air-stability of CuNPs and the s

21 ing in each pathway, we demonstrate a strong correlation between the respiratory suppression/antinoci

22 Correlations between MACL and markers of oxidative stres

23 Correlations between P2 nucleotide receptor expression a

24 n ii is not valid, due to strong intraannual correlations by which different seasons are correlated.

25 Regression analysis, correlation coefficient analysis, and test-retest valida

26 Compared with NICE QALYs, correlation coefficients were 0.45 (ASCOv1), 0.53 (ASCOv

27 our SCCA methods identify better or similar correlation coefficients, and better canonical loading p

28 g 100 Tesla to reveal the extent of the spin correlations in gamma-lithium iridate.

29 improved understanding of the role of ionic correlations in NP assembly and design rules to utilize

30 atmospheric circulations yielded only modest correlations, leaving the relative importance of circula

31 al variables probit model of the association correlation of ECT administration with patient risk of 3

32 The correlation of the model (R(2) approximately 0.995) indi

33 We use the correlations of CO2 with trace elements to define an ave

34 Conclusion The weak-to-moderate correlations of the ASCO frameworks with the ESMO-MCBS,

35 Correlations of the end-period SFFQ were weaker when ASA

36 Correlations of the estimated and measured IEPOX SOA tra

37 are expected, and find that strong magnetic correlations persist at the antiferromagnetic ordering v

38 We have used fluorescence correlation spectroscopy and cross-correlation spectrosc

39 Fluorescence correlation spectroscopy has been previously used to inv

40 orescence correlation spectroscopy and cross-correlation spectroscopy to quantify the diffusion, phot

41 Genome-wide correlation studies have revealed that histone activatio

42 F6) in (CD3)2CO solution: again an excellent correlation was found between the computed deltaNA and t

43 y than those with pale testa, and a positive correlation was found between total phenolic content (TP

44 From this correlation, we hypothesize that lipids play a so far un

45 -cystic pituitary masses along with clinical correlation, which includes early involvement of ACTH an

46 se BALF and human BALF had a strong positive correlation with 2040 metabolites in common, suggesting

47 ing feeding and fasting, and to search for a correlation with gastric emptying.

48 Because of their correlation with renitence and damage-resistant nature,

49 meworks with the ESMO-MCBS, as well as their correlations with QALYs and with NICE/pCODR funding reco

50 Because some of the best single correlations with severity (Scoring of AD, or SCORAD) ar