ライフサイエンスコーパス: correlation analysis

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

2 eristics of patients were also collected for correlation analysis.

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

4 p using the spectral and structural networks correlation analysis.

5 Mann-Whitney test and nonparametric Spearman correlation analysis.

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

7 nophil counts were assessed by using Pearson correlation analysis.

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

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

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

11 tical framework that is built upon canonical correlation analysis.

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

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

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

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

16 orrelation coefficients and by using Pearson correlation analysis.

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

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

19 correlation coefficients were calculated for correlation analysis.

20 1 histopathologic attributes, using Spearman correlation analysis.

21 le analogues to perform a structure-activity correlation analysis.

22 easures of the subnetworks using a canonical correlation analysis.

23 incipal component analysis (PCA) and pearson correlation analysis.

24 Correlation analysis across animals within both treatmen

25 Partial correlation analysis, adjusted for confounders, revealed

26 dy-II Nutrition Cohort, we conducted partial correlation analysis, adjusted for demographic and lifes

27 Correlation analysis adopting the amount of palatal alve

28 On partial correlation analysis after controlling for confounders,

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

30 ches including factor analysis and canonical correlation analysis aim to capture dimensional associat

31 Subsequent correlation analysis allowed for the identification of n

32 The correlation analysis also grouped the microbiomes by ani

33 This correlation analysis also pinpointed metabolic pathways

34 Spearman's rank correlation analysis also showed that grazing reduced th

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

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

37 Both correlation analysis and bootstrapping tests demonstrate

38 yzed using descriptive statistics, bivariate correlation analysis and cognitive salience index calcul

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

40 We perform correlation analysis and gene set enrichment analysis to

41 Using canonical correlation analysis and independent component analysis

42 Correlation analysis and information gain identified a 1

43 Correlation analysis and Maximum Cumulative Ratio assess

44 ese dynamics empirically through time-series correlation analysis and mechanistically by building a m

45 Canonical correlation analysis and partial least-squares regressio

46 led us to obtain different results when the correlation analysis and principal component analysis we

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

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

49 Correlation analysis and statistical differences between

50 se dynamics as observed in both localization correlation analysis and time-lapse iPALM.

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

52 Metric values were compared using a correlation analysis, and by plotting the differences by

53 sticated strategy of differential filtering, correlation analysis, and multivariate statistics can be

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

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

56 ation data, which we present as localization correlation analysis, and show dynamics within the latti

57 Descriptive statistics, correlation analysis, and tests for differences were cal

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

59 ied multidimensional proteomics, sensitivity correlation analysis, and transcriptomics to identify a

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

61 Moving correlation analysis applied to the longest eight chrono

62 survival analysis, comparative analysis, and correlation analysis are also provided with flexible opt

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

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

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

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

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

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

69 Gene set enrichment/pathway analysis and correlation analysis between gene expression and serum c

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

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

72 arisons between preoperative CM and HC; (ii) correlation analysis between preoperative FCs and clinic

73 We demonstrate that correlation analysis between surface-specific techniques

74 Correlation analysis between swirls detected at differen

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

76 Multidimensional correlation analysis between the electrostatic, dispersi

77 Correlation analysis between the last reconstructed inpu

78 Correlation analysis between the susceptibility and the

79 Correlation analysis between TPC and DPPH showed very st

80 In partial correlation analysis by considering age as a confounder,

81 ndows, algorithms of attribute selection and correlation analysis can help improve the accuracy of ou

82 e partial least squares and kernel canonical correlation analysis captured two hidden dimensions of b

83 analysis and its generalization, a canonical-correlation analysis (CCA) and (2) a genetic algorithm (

84 The sparse variant of canonical correlation analysis (CCA) approach is a promising one t

85 Canonical Correlation Analysis (CCA) demonstrated significant corr

86 Canonical correlation analysis (CCA) identified 17 transcriptomic

87 Canonical correlation analysis (CCA) is a classic statistical tool

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

89 ariate statistical methods such as canonical correlation analysis (CCA), penalized least squares (PLS

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

91 r multivariate analysis methods is canonical correlation analysis (CCA).

92 te statistical framework, based on canonical correlation analysis (CCA).

93 profiles that can be further analyzed using correlation analysis, co-expression analysis, clustering

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

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 Correlation analysis defines the presence of two to thre

98 Correlation analysis demonstrated a strong structure-fun

99 The correlation analysis demonstrated seven proteins (six up

100 Correlation analysis demonstrated that SNPs in ctsb, skp

101 his challenge might be met through canonical correlation analysis designed to model mutual dependenci

102 patially normalized using both methods, with correlation analysis done on the resulting cortical SUV

103 e partial least squares and kernel canonical correlation analysis) embedded in our novel framework ar

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

105 e partial least squares and kernel canonical correlation analysis, for identifying hidden dimensions

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

107 However, 2D correlation analysis further supports the observation by

108 med as Generalized Additive Kernel Canonical Correlation Analysis (GAKCCA).

109 Two-dimensional (2D) correlation analysis has been applied to reveal informat

110 Seven discovery-driven methods and tools (correlation analysis, heatmap, clustering, biclustering,

111 Sparse canonical correlation analysis identified associations relevant to

112 Correlation analysis identified new potential bacterial

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

114 Correlation analysis identified significant associations

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

116 Multiple correlations analysis identified mast cell tryptase and

117 Previously, correlation analysis in a classical biparental mapping p

118 SVS-COP coupling was determined by correlation analysis in frequency and time domains.

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

120 Cross-correlation analysis in the periodontitis disease group

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

122 A voxel-based correlation analysis, independent of SLC6A4 genotype, re

123 A repeated measures correlation analysis indicated a negative correlation be

124 Further, NEDD8 correlation analysis indicated co-expression with RBX1,

125 Correlation analysis indicated that ELS was positively c

126 Correlation analysis indicated that relative bioaccessib

127 Pearson's correlation analysis indicated the sensory attributes of

128 A subsequent correlation analysis indicates that reductions in fish c

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

130 es to CIR and these other stressors, we used correlation analysis, logistic regression with multi-mod

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

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

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

134 quantitative trait loci analysis (n = 114), correlation analysis (n = 156) of gene expression and as

135 ng an integrated strategy based on canonical correlation analysis of 5,265 scRNA-seq profiles, we ide

136 itu dynamic X-ray imaging and digital volume correlation analysis of a crystalline rock core, under a

137 A correlation analysis of a total of 153 compounds identif

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

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

140 Correlation analysis of CF-MS profiles shows promise in

141 Canonical correlation analysis of clinical and imaging components

142 This is supported by a correlation analysis of colour and pattern metrics, inve

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

144 Correlation analysis of data obtained from ingestion of

145 Correlation analysis of experimental and computational I

146 Cross-correlation analysis of frames returns the speckle inten

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

148 Correlation analysis of gene expression profiles at the

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

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

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

152 Correlation analysis of microbial and biochemical profil

153 um-acridine anticancer agent (compound 1), a correlation analysis of NCI-60 compound screening result

154 Correlation analysis of pause forces demonstrated that i

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

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

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

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

159 thalamic feature selectivity through reverse correlation analysis of single-unit recordings from diff

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

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

162 Correlation analysis of the expression of TF genes with

163 Pearson correlation analysis of the HBQ toxicity measurements wi

164 Correlation analysis of the levels of lipid analytes acr

165 Correlation analysis of the proportion of immune cells i

166 Correlation analysis of the reduced cyclic peptide shows

167 ariate region of interest analysis, a paired correlation analysis of the regional relationship betwee

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

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

170 Correlation analysis of variability in gene expression i

171 Pearson correlation, analysis of variance, and intraclass correl

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

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

174 f the mechanosensory system by using reverse correlation analysis on behavior.

175 strate the deficiencies of performing simple correlation analysis on pairs of matrices, and we show t

176 Pearson correlation analysis on the average concentrations of ea

177 sub-Hz relative frequency stability, while a correlation analysis on the modal phases confirms the hi

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

179 hemosensitivity to the hybrid agent (Pearson correlation analysis, p < 10(-5)) across a wide range of

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

181 Correlation analysis (Pearson correlation) was performed

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

183 The cross-correlation analysis performed on different sections of

184 EEG was visually inspected and h2 non-linear correlation analysis performed to study functional conne

185 The correlation analysis, performed for 2011 production year

186 Our genetic correlation analysis provides evidence for a common gene

187 A directional correlation analysis quantifies interactions between pai

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

189 Correlation analysis, regression analysis, Bland-Altman

190 Pearson correlation analysis resulted in network integration tha

191 Cross-correlation analysis results suggest that UV radiation h

192 Correlation analysis revealed a significant association

193 Correlation analysis revealed a significant relationship

194 However, canonical correlation analysis revealed a significant relationship

195 A whole-brain correlation analysis revealed an age-related decrease in

196 The reverse correlation analysis revealed greater sampling areas for

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

198 Pairwise correlation analysis revealed positive correlations betw

199 Correlation analysis revealed significant negative relat

200 ear morphology, and cognition, while genetic correlation analysis revealed strong positive correlatio

201 Cross-correlation analysis revealed that ion conductance talli

202 Voxel-wise correlation analysis revealed that microglial activation

203 Correlation analysis revealed that percentage of damaged

204 Correlation analysis revealed that SI was positively ass

205 Psychophysical reverse correlation analysis revealed that the degree of mismatc

206 Subsequent correlation analysis revealed that the fALFF values of t

207 In addition, correlation analysis revealed that the increased content

208 A correlation analysis revealed that the MAT only influenc

209 Canonical correlation analysis revealed that the relationship betw

210 Correlation analysis revealed that these effects were la

211 Genotype-phenotype correlation analysis revealed that this variant segregat

212 Finally, a correlation analysis revealed that those elderly who dis

213 Correlation analysis revealed that total nitrogen accumu

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

215 Network correlation analysis reveals that Atopobium parvulum con

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

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

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

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

220 Sparse canonical correlation analysis (SCCA) is widely used to identify b

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

222 rative analysis approaches, sparse canonical correlation analysis (sCCA), non-negative matrix factori

223 The results from a seed-based correlation analysis show that both ketamine groups had

224 Pearson's correlation analysis showed a strong correlation between

225 Correlation analysis showed that ambient temperature was

226 Pearson's correlation analysis showed that CWEC, CWEN, and enzyme

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

228 Correlation analysis showed that FFWTT results have stro

229 Intrafamilial correlation analysis showed that other factors shared by

230 Spearman correlation analysis showed that there was a strong corr

231 Correlation analysis showed that thermal properties and

232 Correlation analysis showed the highest correlation betw

233 g patterns at the dimer interface, and cross-correlation analysis showed the largest perturbations in

234 The combination of control theory with flux correlation analysis shows that flux correlations substa

235 is end, we developed GECO, a gene expression correlation analysis software that uses a genetic algori

236 nt a comparison of sparse multiple canonical correlation analysis (Sparse mCCA), angle-based joint an

237 Correlation analysis suggested an enhanced transformatio

238 Hammett correlation analysis suggested that photolysis efficienc

239 Genetic correlation analysis suggests chronotype shares underlyi

240 Voxel-wise correlation analysis suggests that neuroinflammation is

241 A correlation analysis suggests that the changes are domin

242 Correlation analysis supported this observation and show

243 Genetic correlation analysis supports a shared genetic etiology

244 Temporal correlation analysis supports the evidence that modern e

245 ich performs the multi-task sparse canonical correlation analysis (T-MTSCCA).

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

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

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

249 We used multiset canonical correlation analysis to align individual subject data in

250 We used a correlation analysis to assess associations between leng

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

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

253 We used canonical correlation analysis to discover distinct patterns of co

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

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

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

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

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

259 bridization, anatomical tracing, and spatial correlation analysis to map the transcriptional and spat

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

261 erence-free method based on sparse canonical correlation analysis to separate the biological from tec

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

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

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

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

266 Traditional Pearson correlation analysis treating the observed data as absol

267 Through the application of 2D correlation analysis two separate transition phases have

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

269 Metabolite-metabolite correlation analysis underlined two specific profiles wh

270 Through correlation analysis using public datasets containing ov

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

272 Correlation analysis was applied to investigate relation

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

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

275 coefficient of variation (CV), and Pearson's correlation analysis was conducted.

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

277 When correlation analysis was performed between corneal morph

278 The correlation analysis was performed by comparing the live

279 This correlation analysis was performed by successively incre

280 Correlation analysis was performed on angle alpha and an

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

282 A correlation analysis was performed to evaluate the assoc

283 Additionally, a correlation analysis was performed to investigate the re

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

285 t test was used to compare groups; Spearman correlation analysis was used to determine the relations

286 Correlation analysis was used to investigate the relatio

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

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

289 Using canonical correlation analysis, we delineated relationships betwee

290 microscopy, along with a quantitative cross-correlation analysis, we find that BRCs engaged with bil

291 With partial correlation analysis, we identified six metabolites that

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

293 Furthermore, using intersubject correlation analysis, we revealed increased synchronizat

294 Using canonical correlation analysis, we sought separable multimodal ima

295 e, we report coherent resonant X-ray speckle correlation analysis, which directly determines the repr

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

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

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

299 rential expression analysis and differential correlation analysis, with significance tests.

300 The genetic correlation analysis yielded a strong positive genetic c