ライフサイエンスコーパス: correlation analyses

1 al anisotropy valves were used for voxelwise correlation analyses.

2 skills were assessed by using regression and correlation analyses.

3 avioral scores as revealed by regression and correlation analyses.

4 e methods for any of the volume or EF linear correlation analyses.

5 rrelations between biomarkers using Spearman correlation analyses.

6 II, STAI-T, TSC-40, TFEQ, CWIT, and BMI with correlation analyses.

7 e-to-metabolite and metabolite-to-metabolite correlation analyses.

8 red using analyses of variance, t tests, and correlation analyses.

9 urther showcasing the power of local genetic correlation analyses.

10 rence maps were derived from interaction and correlation analyses.

11 diffusion coefficient-formula weight (D-fw) correlation analyses.

12 associated with quality of life in bivariate correlation analyses.

13 onal impact on cellular protein networks and correlation analyses aimed at revealing causal relations

14 sis of this gene in zebrafish and expression correlation analyses among other BBS genes in an express

15 This was tested by correlation analyses among the levels of Ca, Pi, Cl, Na,

16 From correlation analyses and circuit modeling, we suggest th

17 teristic analyses as well as descriptive and correlation analyses and multiple logistic regression.

18 diffusion coefficient-formula (D-FW) weight correlation analyses and other one- and two-dimensional

19 py with diffusion coefficient-formula weight correlation analyses and other one- and two-dimensional

20 diffusion coefficient-formula (D-FW) weight correlation analyses and other one- and two-dimensional

21 Y) with diffusion coefficient-formula weight correlation analyses and other one- and two-dimensional

22 as related to Cu and Zn concentrations using correlation analyses and principal component analyses.

23 Using encephalization quotients, partial correlation analyses, and bivariate regressions relating

24 t test, correlation analyses, and intraclass correlation coeffic

25 Descriptive statistics, correlation analyses, and survival analyses were perform

26 Survival analyses, correlation analyses, and t tests were calculated to exa

27 to obesity phenotypes, we conducted pairwise correlation analyses based on alleles shared identical b

28 By pair correlation analyses based on time-lapse TALM images (pc

29 from the very onset, permitting single-cell correlation analyses between early signaling dynamics an

30 Gene expression profiling data were used for correlation analyses between expression levels of MHCII

31 activation and repression) come from partial correlation analyses between pairs of genes.

32 Subsequent correlation analyses between signal variations and behav

33 Correlation analyses between splice variants of these ge

34 Correlations analyses between these contrasts and diseas

35 Correlation analyses comparing toxin levels in type B su

36 Finally, we show that standard correlation analyses could not effectively detect the ma

37 py with diffusion coefficient-formula weight correlation analyses (D-FW) and other one- and two-dimen

38 On the basis of partial correlation analyses, dietary fat was also associated wi

39 Multiple correlation analyses established the importance of TFH f

40 Correlation analyses found an inverse relation between l

41 Results of post-hoc seed-based correlation analyses further strengthened differential c

42 Correlation analyses have revealed intricate interaction

43 Correlation analyses identified an E1-I2 length-correlat

44 Cross-correlation analyses identify both intra- and intersubun

45 Statistical approaches including correlation analyses in coexpression studies of gene exp

46 Correlation analyses in the schizophrenia sample failed

47 However, sensitivity tests based on pattern correlation analyses indicate that the vast majority of

48 Cross-correlation analyses indicated that neighboring off-cent

49 Correlations analyses indicated highly significant assoc

50 Moreover, correlation analyses involving Tau mice alone revealed l

51 Using texture correlation analyses of confocal microscopy images, two-

52 Correlation analyses of county mean values demonstrated

53 Current correlation analyses of drug concentration data are pron

54 the primary intention-to-treat analysis and correlation analyses of drug concentration data.

55 criptional regulation relationships based on correlation analyses of gene expression patterns.

56 The segregation and familial correlation analyses of IOP suggest a polygenetic compon

57 nderlie differences was examined using cross-correlation analyses of pairs of thalamic and cortical n

58 ng paired intracellular recordings and cross-correlation analyses of photostimulation-evoked synaptic

59 Correlation analyses of single-turnover waiting times fu

60 neurons in rat visual cortex by using cross-correlation analyses of synaptic currents evoked by phot

61 Correlation analyses of the production of sign language

62 formed ranking, hierarchical clustering, and correlation analyses of the survey data.

63 For SP-C, 2D IR and betanu correlation analyses of these regions indicated that SP-

64 ration strategy based on regularized CCA and correlation analyses of urine metabonomics data and 16S

65 Correlation analyses on the spectra revealed two volatil

66 In correlation analyses, only cord blood NR3C1 promoter met

67 Correlation analyses (P < .001, uncorrected) between mot

68 significant factor for Pearson and Spearman correlation analyses (P < 0.01).

69 ever, this effect was robust only in partial correlation analyses (partialling out time series from o

70 d through backward elimination and canonical correlation analyses performed as accurately as the full

71 Correlation analyses performed with the data for the ent

72 In Spearman correlation analyses, proinsulin and the proinsulin-to-i

73 Correlation analyses revealed a cerebral cortical volume

74 Cross-correlation analyses revealed independence between the p

75 Correlation analyses revealed modest associations betwee

76 Exploratory correlation analyses revealed negative associations betw

77 Correlation analyses revealed significant correlations o

78 Correlation analyses revealed significantly higher Sec62

79 mporal evolution patterns and trial-by-trial correlation analyses revealed that CBV-related optical s

80 Correlation analyses revealed that gallic acid, ferulic

81 Correlation analyses revealed that gray matter thickness

82 Correlation analyses revealed that longer duration of pr

83 Correlation analyses revealed that the bacterially-media

84 Correlation analyses revealed that the highest spatial c

85 In this context, we used sparse canonical correlation analyses (sCCAs) to determine the covariatio

86 tide abundances with G + C demonstrates that correlation analyses should control for G + C.

87 Indeed, reverse correlation analyses showed no difference in the tempora

88 There were three main findings: 1) Total correlation analyses showed predominant cerebro-cerebell

89 Correlation analyses showed that DG and CA1 units exhibi

90 Gene prioritisation, enrichment, and genetic correlation analyses showed that identified pathways wer

91 Correlation analyses showed that PMROS and to a lesser e

92 Correlation analyses showed that the majority of genes a

93 The stratified correlation analyses showed that the relationship betwee

94 restriction fragments (T-RFs), together with correlation analyses, showed that T-RFs having significa

95 tiple regressions and multivariate canonical correlation analyses suggest that people who live in nei

96 cortical seeds), whereas findings from total correlation analyses suggest that temporo-thalamic overc

97 e found within the same regions of LH, cross-correlation analyses suggest that they may participate i

98 Correlation analyses suggested that, in arthritis patien

99 verconnectivity in the ASD group; 2) partial correlation analyses that emphasized domain specificity

100 receiver operating characteristics (ROC) and correlation analyses, the best programs were BioPredsi,

101 nt angles were subjected to discriminant and correlation analyses to determine to what extent and in

102 tion transfer experiments and chemical shift correlation analyses to gauge state populations.

103 nce William Sound, we performed spectral and correlation analyses to identify temporal behavior of po

104 these activities, we applied resampled cross-correlation analyses to large-scale recordings of neuron

105 MD) simulations with principal component and correlation analyses to probe the mechanism of allosteri

106 Correlation analyses using behavioural scales of the pre

107 Genetic correlation analyses using two methods suggested near co

108 hophysical classification tasks with reverse correlation analyses, we identified the particular spati

109 The correlation analyses were also conducted separately, by

110 Correlation analyses were conducted using simple linear

111 In addition, behavioral correlation analyses were conducted using the Autism Dia

112 Spearman rank correlation analyses were done for survival versus three

113 Partial correlation analyses were employed to evaluate the cogni

114 derwent comprehensive cognitive testing, and correlation analyses were performed between cognitive pe

115 Correlation analyses were performed between the differen

116 Linear regression and correlation analyses were performed by using a statistic

117 ed on reproducibility, machine learning, and correlation analyses were performed for selecting featur

118 Partial and total correlation analyses were performed for unilateral regio

119 Correlation analyses were performed in the native space

120 Correlation analyses were performed on behavioral data,

121 Spearman correlation analyses were performed on untransformed tim

122 lation, analysis of variance, and intraclass correlation analyses were performed to compare MR imagin

123 Correlation analyses were performed to compare volume ch

124 Correlation analyses were performed to determine relatio

125 Cross-correlation analyses were performed to determine the deg

126 Correlation analyses were performed to evaluate associat

127 Spearman correlation analyses were performed to evaluate associat

128 Wilcoxon rank-sum test and Pearson correlation analyses were performed.

129 redefined region-of-interest and voxel-based correlation analyses were performed.

130 ct between-modality voxelwise comparison and correlation analyses were performed.

131 Correlation analyses were run on SAS 9.2.

132 ing after covert timing of the subjects, and correlation analyses were run to assess the relationship

133 Correlation analyses were supplemented with regression a

134 Spearman correlation analyses were used to evaluate the relations

135 Linear and quadratic correlation analyses were used to examine the associatio

136 vertebrate retina, nearest neighbor and auto-correlation analyses were used to examine the mosaic pat

137 Correlation analyses were used to examine the relationsh

138 Seed-based correlation analyses were used to measure changes in fun

139 These results were further supported by correlation analyses within patients, which showed highl