ライフサイエンスコーパス: correlation analysis

1 s was conducted using the Student t test and correlation analysis.

2 )Se NMR spectroscopy as a sensitive tool for correlation analysis.

3 orrelation coefficients (ICCs), and Spearman correlation analysis.

4 eristics of patients were also collected for correlation analysis.

5 tical framework that is built upon canonical correlation analysis.

6 riance, the Student t test, chi(2) test, and correlation analysis.

7 dates the use of (77)Se NMR spectroscopy for correlation analysis.

8 Wallis and Mann-Whitney U tests and Spearman correlation analysis.

9 ipal component analysis (PCA) overlays or by correlation analysis.

10 orrelation coefficients and by using Pearson correlation analysis.

11 ve correlation (P<0.05) analyzed by Pearsons correlation analysis.

12 ve conduction velocities (NCVs) with Pearson correlation analysis.

13 s of immobilized EGF and quantified by cross-correlation analysis.

14 (ICA) and voxel-level, brain-wide univariate correlation analysis.

15 visual score was assessed with Spearman rank correlation analysis.

16 ere analyzed with analysis of variance and a correlation analysis.

17 th the Wilcoxon signed rank test and Pearson correlation analysis.

18 nt t test, analysis of variance, and Pearson correlation analysis.

19 tests and rank sum tests, as well as Pearson correlation analysis.

20 earchlight dissimilarity matrices and seeded correlation analysis.

21 re different, as suggested by chemical shift correlation analysis.

22 e communities, which is commonly achieved by correlation analysis.

23 tabolic parameters were evaluated by Pearson correlation analysis.

24 mitosis through interphase by means of pair-correlation analysis.

25 ven approach, and ICA-based interhemispheric correlation analysis.

26 deo microscopy, particle tracking, and image correlation analysis.

27 The effect of neuroticism was assessed using correlation analysis.

28 l linear model analysis and seed-based cross correlation analysis.

29 ing during MTX therapy and were eligible for correlation analysis.

30 Mann-Whitney test and nonparametric Spearman correlation analysis.

31 ollowed via semi quantification and 2D Raman correlation analysis.

32 nophil counts were assessed by using Pearson correlation analysis.

33 Correlation analysis across animals within both treatmen

34 We applied 2 independent methods-partial correlation analysis adjusted for age and gender and pat

35 Partial correlation analysis, adjusted for confounders, revealed

36 On partial correlation analysis after controlling for confounders,

37 omatic amines was assembled and subjected to correlation analysis against descriptor variables that r

38 Subsequent correlation analysis allowed for the identification of n

39 The new correlation analysis also leads to the N and s(N) parame

40 This correlation analysis also pinpointed metabolic pathways

41 Interestingly, pairwise correlation analysis among the 21 OTUs revealed that Fil

42 Correlation analysis and a Bland-Altman plot were used t

43 ues obtained with AC were analyzed by use of correlation analysis and Bland-Altman limits of agreemen

44 Both correlation analysis and bootstrapping tests demonstrate

45 pectra to be implemented for high-resolution correlation analysis and demonstrate the advantages of h

46 were assessed using region of interest-based correlation analysis and dynamic causal modelling, respe

47 Correlation analysis and information gain identified a 1

48 Correlation analysis and multiple linear regression with

49 Canonical correlation analysis and partial least-squares regressio

50 Based on extensive correlation analysis and process-modeling, we propose th

51 partial least squares regression, canonical correlation analysis and regularized canonical correlati

52 The method uses correlation analysis and statistical tests to identify n

53 Seventeen patients were available for correlation analysis, and 12 patients were available for

54 yte transcriptome profiling data, expression correlation analysis, and functional and network analyse

55 gnments, accurate mass tolerances, Pearson's correlation analysis, and peak height similarity to iden

56 ability, automatic parameter sensitivity and correlation analysis, and posterior predictive analysis.

57 d using diffusion coefficient-formula weight correlation analysis, and the (1)H NMR/DOSY titration te

58 rrelation analysis and regularized canonical correlation analysis, and use them as the basic classifi

59 Moving correlation analysis applied to the longest eight chrono

60 Homo- and heterospectral correlation analysis are powerful methods for investigat

61 Registration algorithms and correlation analysis are then used to compare 3D express

62 Correlation analysis assessed the association between th

63 stical Parametric Mapping, and between-group correlation analysis at voxel-level using Biological Par

64 thods for estimating connectivity from cross-correlation analysis available.

65 The correlation analysis avoids the need for orientation det

66 Correlation analysis between [Pi], pO2, pHe and tumor vo

67 Correlation analysis between ABC and miRNA expression in

68 The correlation analysis between AMS and P levels showed a c

69 Furthermore, correlation analysis between behavior and stimulus codin

70 Correlation analysis between carotenoid content and gene

71 d for 20 and 35min was conducted followed by correlation analysis between fitted parameters of digest

72 s between groups (Mann-Whitney U test) and a correlation analysis between glycemia and periodontal pa

73 A correlation analysis between left amygdala activation an

74 cal relevance of event-related potentials, a correlation analysis between neural measures and subject

75 AD dementia groups, as well as a systematic correlation analysis between PACAP level, cognitive perf

76 dds novel functionality to MEDIPS, including correlation analysis between samples, and takes advantag

77 We demonstrate that correlation analysis between surface-specific techniques

78 Correlation analysis between task-induced gamma-band act

79 We also demonstrate correlation analysis between the absolute amount of RNA

80 By applying a correlation analysis between the activity and the chroma

81 Multidimensional correlation analysis between the electrostatic, dispersi

82 A correlation analysis between the magnetic and gravity se

83 Correlation analysis between the TP and the AA content a

84 Correlation analysis between TPC and DPPH showed very st

85 pancreas tissue, showing a high quantitative correlation analysis by the Pearson's coefficient consta

86 are normally distributed, such as canonical correlation analysis (CCA) and MANOVA, can have highly i

87 Canonical Correlation Analysis (CCA) measures the correlation betw

88 a multivariate statistical method, canonical correlation analysis (CCA) method for this problem.

89 riminant analysis (LDA) and sparse canonical correlation analysis (CCA) were used to assess the inter

90 ) functional data analysis and (3) canonical correlation analysis (CCA).

91 We first performed general correlation analysis comparing gene expression profiles

92 very of language was confirmed in voxel-wise correlation analysis, conducted unconstrained for the wh

93 Correlation analysis confirmed a decrease in diameter ac

94 Seed-voxel-based correlation analysis confirmed that these sets of region

95 Partial correlation analysis, controlling for these environmenta

96 dimer-to-tetramer transition by a cross-pair correlation analysis (cpCOMB) reveals that chromatin acc

97 between |R| and |R| by using detrended cross-correlation analysis (DCCA).

98 Correlation analysis defines the presence of two to thre

99 A correlation analysis demonstrated interactions across mo

100 The correlation analysis demonstrated seven proteins (six up

101 Correlation analysis demonstrated that SNPs in ctsb, skp

102 Moreover, microscopy cross-correlation analysis demonstrated the in situ integratio

103 tions were explored using both network-level correlation analysis following independent component ana

104 sed by label-free quantification and Pearson correlation analysis for shared proteins among replicate

105 nd appropriate methods are required prior to correlation analysis for these compositional data.

106 Also, we extend the canonical correlation analysis framework that enables uncovering t

107 Spearman's rank correlation analysis further supported a negative relati

108 Instead, we propose Gene Sets Net Correlations Analysis (GSNCA), a multivariate differenti

109 In addition, 2D correlation analysis has been performed on both Raman an

110 Correlation analysis identified new potential bacterial

111 a proportional metabolic response, in depth correlation analysis identified several transcripts that

112 KEY MESSAGE: Metabolic and transcriptomic correlation analysis identified two distinctive profiles

113 tum correlation, heteronuclear multiple bond correlation) analysis identified the paralytic compound

114 Previously, correlation analysis in a classical biparental mapping p

115 of interest (ROIs) in a brain interregional correlation analysis in each prodromal AD subgroup to ex

116 This large-scale mRNA-protein correlation analysis in plants (maize) using label-free

117 Cross-correlation analysis in the periodontitis disease group

118 opagation is tracked here with Digital Image Correlation analysis in the test case of two cracks prop

119 Correlation analysis indicated a strong association betw

120 Image correlation analysis indicates that sub-nucleoid structu

121 Model bundles are generated, and correlation analysis is used to score which structures h

122 Interspecies correlation analysis links PinT to host cell JAK-STAT si

123 nctional networks inferred from conventional correlation analysis may indeed be driven by activity at

124 ransfer (CAPT) catalysis by multidimensional correlation analysis (MCA) is revisited.

125 We propose a joint sparse canonical correlation analysis method, which uses a generalized fu

126 evels at 4 years of age were tested by using correlation analysis, multivariable regression, and medi

127 s to be true in human tumors as shown by our correlation analysis of a mass spectrometric data set of

128 A correlation analysis of a total of 153 compounds identif

129 triplet-quenching oxygen on PL and a photon correlation analysis of aggregate PL reveal that triplet

130 ics were evaluated based on covariance-based correlation analysis of all simulations.

131 Intraclass correlation analysis of brain volumes between children w

132 Correlation analysis of CF-MS profiles shows promise in

133 Using computational angular correlation analysis of cilia orientation, we report a g

134 We performed partial correlation analysis of cross-sectional resting-state (1

135 Correlation analysis of data obtained from ingestion of

136 Correlation analysis of Dice similarity coefficients for

137 By pair correlation analysis of EGFP molecular flow into chromat

138 Correlation analysis of experimental and computational I

139 art-Ornstein et al. use systematic pair-wise correlation analysis of expression noise in a large numb

140 in single-molecule spectroscopy by employing correlation analysis of extrinsic oxazine fluorescence f

141 Cross-correlation analysis of frames returns the speckle inten

142 ond derivatives of the spectra and by the 2D correlation analysis of FT-IR absorbance data, we were a

143 Correlation analysis of gene expression profiles at the

144 In addition, the cross-correlation analysis of HNNs activities suggests 5-HT co

145 We construct SRN based on an extensive correlation analysis of human exon expression microarray

146 nt cardiac magnetic resonance imaging, and a correlation analysis of measured parameters was performe

147 tabolic connectivity and conducted canonical correlation analysis of metabolic activity and behavior

148 Correlation analysis of microbial and biochemical profil

149 Voxelwise correlation analysis of olfactory tract FA values with (

150 Correlation analysis of pause forces demonstrated that i

151 It uses correlation analysis of phospho-sites to extract kinase/

152 The cross-correlation analysis of PROFILE spectra allows one to di

153 Additionally, both correlation analysis of public databases of human breast

154 Using single-fly correlation analysis of rhythm robustness and period we

155 Correlation analysis of single-molecule fluorescence flu

156 cognate pMHC variants and performed thorough correlation analysis of T cell activation with 1G4 TCR-p

157 Correlation analysis of Tetramethylrhodamine intensity f

158 An inter-residue correlation analysis of the chemical shift changes provi

159 ed musculoskeletal radiologists, and Pearson correlation analysis of the covariates was performed.

160 In Pearson correlation analysis of the development cohort, the COPP

161 A correlation analysis of the fluctuations reveals the div

162 Pearson correlation analysis of the HBQ toxicity measurements wi

163 Correlation analysis of the input-output characteristics

164 Correlation analysis of the levels of lipid analytes acr

165 Correlation analysis of the overall data revealed that,

166 Correlation analysis of the reduced cyclic peptide shows

167 n the basis of the autocorrelation and cross-correlation analysis of the single-molecule Raman spectr

168 Target gene and mRNA-sequencing correlation analysis of the T(c) mouse model supports a

169 Correlation analysis of the ~10(4) to 10(6) pairs of gen

170 The 2D correlation analysis of time dependent Raman spectra rea

171 Correlation analysis of variability in gene expression i

172 rface expression of integrin alphavbeta3 and correlation analysis of vascular integrin alphavbeta3 an

173 Pearson correlation, analysis of variance, and intraclass correl

174 Descriptive statistics, Spearman correlation, analysis of variance, two-sample t test, an

175 ndependent component analysis and seed-based correlation analysis) of resting-state functional magnet

176 n estimating direct interactions compared to correlation analysis on a benchmark of large protein com

177 Pearson correlation analysis on the average concentrations of ea

178 Over-representation of correlation analysis (ORCA) is a novel combination of OR

179 correlation with IL-18 in the Spearman rank correlation analysis (P = 0.039), which indicated a corr

180 nt discriminant function analysis, canonical correlation analysis, partial least-squares (PLS) regres

181 ial expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar

182 from meta-analysis, and 19 hub proteins from correlation analysis (Pbi2p and Hsp42p were identified b

183 Correlation analysis (Pearson correlation) was performed

184 al software (version 22) was used to perform correlation analysis (Pearson's coefficient) and the Man

185 The correlation analysis, performed for 2011 production year

186 Correlation analysis, principal component analysis and c

187 Our genetic correlation analysis provides evidence for a common gene

188 transcriptional relationships among samples (correlation analysis), putative biomarkers (O2PLS-DA app

189 A directional correlation analysis quantifies interactions between pai

190 structures (OPLS), and regularized canonical correlation analysis (rCCA) to study associations betwee

191 Correlation analysis, regression analysis, Bland-Altman

192 ased (i.e., ability) measures, and canonical correlation analysis related interviewer ratings to the

193 In the patients a correlation analysis related the mPFC aberrant BOLD high

194 Pearson correlation analysis resulted in network integration tha

195 Cross-correlation analysis results suggest that UV radiation h

196 Correlation analysis revealed a significant association

197 The reverse correlation analysis revealed greater sampling areas for

198 Further to this, network-based correlation analysis revealed HIF specific pathway respo

199 Cross-correlation analysis revealed highly correlated Ca(2+) a

200 Genetic imaging correlation analysis revealed negative associations of C

201 Pairwise correlation analysis revealed positive correlations betw

202 Correlation analysis revealed significant negative relat

203 Pearson correlation analysis revealed that a greater ttd was ass

204 Cross-correlation analysis revealed that ion conductance talli

205 Spatial correlation analysis revealed that long-range alignment

206 Voxel-wise correlation analysis revealed that microglial activation

207 Correlation analysis revealed that percentage of damaged

208 Correlation analysis revealed that SI was positively ass

209 Psychophysical reverse correlation analysis revealed that the degree of mismatc

210 Subsequent correlation analysis revealed that the fALFF values of t

211 Correlation analysis revealed that the hydroxyl group at

212 In addition, correlation analysis revealed that the increased content

213 A correlation analysis revealed that the MAT only influenc

214 Canonical correlation analysis revealed that the relationship betw

215 Correlation analysis revealed that these effects were la

216 Correlation analysis revealed that total nitrogen accumu

217 Subsequently, a partial correlation analysis revealed that while RH influences t

218 Network correlation analysis reveals that Atopobium parvulum con

219 such as various structured sparse canonical correlation analysis (SCCA) algorithms have been propose

220 Sparse canonical correlation analysis (SCCA) can discover bi-multivariate

221 Sparse Canonical Correlation Analysis (SCCA) has been a popular technique

222 Sparse canonical correlation analysis (SCCA) is a bi-multivariate techniq

223 Structured sparse canonical correlation analysis (SCCA) models have been used to ide

224 Correlation analysis showed that ABCA1 mRNA expression w

225 Correlation analysis showed that ambient temperature was

226 Spearman correlation analysis showed that change in LRNC positive

227 The correlation analysis showed that DHoG (rho = 0.85, P < 0

228 Correlation analysis showed that FFWTT results have stro

229 Correlation analysis showed that naturally occurring cat

230 Intrafamilial correlation analysis showed that other factors shared by

231 Correlation analysis showed that the time intervals betw

232 Spearman correlation analysis showed that there was a strong corr

233 Correlation analysis showed that thermal properties and

234 Partial correlation analysis shows that particular combinations

235 Differential correlation analysis shows that the NKX2-1 network in tu

236 In addition, the cross-correlation analysis shows the 3D relative movement of t

237 Genetic correlation analysis suggests chronotype shares underlyi

238 Voxel-wise correlation analysis suggests that neuroinflammation is

239 A correlation analysis suggests that the changes are domin

240 res of alignment behavior were determined by correlation analysis, supported by simulations.

241 amework, based on three-way sparse canonical correlation analysis (T-SCCA), to explore the intrinsic

242 easures analysis of variance, the regression correlation analysis tests, and spearman correlation coe

243 emporally constrained group sparse canonical correlation analysis (TGSCCA) framework to identify gene

244 sis (ORCA) is a novel combination of ORA and correlation analysis that provides a means to test wheth

245 By correlation analysis, the compounds showing the stronges

246 We used a correlation analysis to assess associations between leng

247 CCAC, an application of functional canonical correlation analysis to assess covariance of nucleic aci

248 st main finding is that it is possible for a correlation analysis to be sensitive to transmission mod

249 ion of a three-dimensional spatial frequency correlation analysis to carry out this synthesis from no

250 literature data were jointly subjected to a correlation analysis to derive the electrophilicity para

251 Here, we used cross-correlation analysis to estimate the incidence, magnitud

252 We also used reverse correlation analysis to estimate the spatial distributio

253 ters to psychiatric symptoms using canonical correlation analysis to identify an 'interpersonal vulne

254 A sequencing-based approach and coexpression correlation analysis to identify several candidate genes

255 we devised a ceRNA inference by differential correlation analysis to identify the miRNA-modulated ceR

256 y approach along with well-established cross-correlation analysis to investigate the causal relations

257 cence localization microscopy (FLM) and pair-correlation analysis to measure the codistribution of Ig

258 reconstruction microscopy (STORM) with pair-correlation analysis to show that EGF and neuregulin (NR

259 We apply this cross-correlation analysis to the blood flow in Zebrafish embr

260 tends the statistical technique of canonical correlation analysis to the setting where original indiv

261 y their behavioral responses and use reverse-correlation analysis to uncover the linear and static no

262 on spectroscopy based on time-resolved image correlation analysis, to map chromatin dynamics simultan

263 Traditional Pearson correlation analysis treating the observed data as absol

264 dominated by eyelid closures, sliding-window correlation analysis uncovered a DCS associated with red

265 Metabolite-metabolite correlation analysis underlined two specific profiles wh

266 Two-dimensional (2D) correlation analysis was applied to 20 Fourier transform

267 Lin's concordance correlation analysis was applied to assess the protocol'

268 Specifically, sparse canonical correlation analysis was conducted on 3 feature datasets

269 Seed-based correlation analysis was conducted to explore the functi

270 Response for correlation analysis was determined on the basis of the

271 The scope of correlation analysis was extended beyond MnO2 to include

272 otoxin levels were quantified in plasma, and correlation analysis was performed among all parameters.

273 Correlation analysis was performed among visual gain, gr

274 Pearson's correlation analysis was performed between preoperative

275 Correlation analysis was performed by calculating Spearm

276 This correlation analysis was performed by successively incre

277 Two-tailed Pearson correlation analysis was performed to determine the corr

278 A correlation analysis was performed to evaluate the assoc

279 Correlation analysis was performed to evaluate the assoc

280 antly contributed to the depth of focus, and correlation analysis was performed to evaluate the corre

281 Correlation analysis was performed to evaluate the predi

282 ew of the sample microstructure, whereas the correlation analysis was used to confirm the identity of

283 Canonical correlation analysis was used to find a relationship bet

284 Spearman correlation analysis was used to identify bioactive comp

285 Furthermore, canonical correlation analysis was used to learn the most relevant

286 Using drifting bar stimuli and cross-correlation analysis, we also determined the orientation

287 attering micro-spectroscopy and simple image correlation analysis, we experimentally demonstrate that

288 Using a fluorescence correlation analysis, we found that across the lateral e

289 Employing single FA tracking and cross-correlation analysis, we quantified the dynamic coupling

290 Using canonical correlation analysis, we sought separable multimodal ima

291 Linear regression and bivariate correlation analysis were carried out and level of signi

292 erating characteristic analysis, and partial correlation analysis were performed.

293 est, linear regression analysis, and Pearson correlation analysis were used to determine the relation

294 analysis of variance, unpaired t tests, and correlation analysis were used.

295 ween these clusters, as evaluated by partial correlation analysis, were then used to construct a grap

296 orporates group effects of features into the correlation analysis while performs individual feature s

297 Furthermore, methods of correlation analysis with Metaboanalyst 3.0 for selectin

298 pes, calculation of hydraulic resistance and correlation analysis with morphological and physiologica

299 Combining pair-correlation analysis with PALM (PC-PALM), we provide a m

300 degrees C. qRT-PCR results were supported by correlation analysis with physiological and biochemical