ライフサイエンスコーパス: covariance

1 d between treatments (P<0.001 by analysis of covariance).

2 % CI, 0.56-1.37 hours; P < .001, analysis of covariance).

3 the stochastic variables (mean, variance and covariance).

4 toparietal cortices, as shown by analysis of covariance.

5 IVH) over 24 h were estimated in analyses of covariance.

6 nge, stable isotope discrimination, and eddy covariance.

7 e placebo group were analyzed by analysis of covariance.

8 toparietal cortices, as shown by analysis of covariance.

9 pairs with statistically significant genetic covariance.

10 map derived from aerial photography and eddy covariance.

11 mate genetic and environmental parameters of covariance.

12 ess reliable when jointly estimated with the covariance.

13 ) using analysis of variance and analysis of covariance.

14 end point was analyzed by using analysis of covariance.

15 ctionality of the interaction by analysis of covariance.

16 yzed using spline regression and analysis of covariance.

17 development were tested by using analysis of covariance.

18 pecies-specific intercepts using Analysis of Covariance.

19 of evergreen conifer stands measured by eddy covariance.

20 eQTLs and the major axes of gene expression covariance, a highly significant excess of variants with

21 t disentangling common and unique sources of covariance across genetically similar phenotypes as the

22 analyzed with repeated-measures analysis of covariance adjusted for depression symptoms, diagnosis,

23 Analysis of covariance, adjusted by baseline PI, was the main analys

24 In some analyses for years 1-3, analysis of covariance adjustment indicated that this DSAEK-associat

25 Through the use of analysis of covariance, all (18)F-FDG PET brain images of MMF patien

26 We explored their distributions and covariance along a physico-chemical gradient from coasta

27 d among taxa and was sometimes diffuse, with covariance among biological traits and the mapping of in

28 Theory indicates that if covariance among functional traits sets a limit on the n

29 lationships in the strength and direction of covariance among sexual traits.

30 mon consequence, not the common cause of the covariance among tests is more in line with an evolution

31 Covariances among life-history traits are estimated from

32 Regression and analysis of covariance analyses investigated relationships between p

33 Whole-brain structural covariance analyses revealed subtle changes of connectiv

34 Nuclear magnetic resonance chemical shift covariance analyses were used to identify long-range ami

35 Evolutionary covariance analysis allowed tracing of the a subunit seq

36 Subsequent evolutionary covariance analysis enabled construction of a model of t

37 Finally applying Fluorescence Covariance Analysis in live cells expressing fluorescent

38 of cells were resolved from a pixel-by-pixel covariance analysis of fluctuations in potentiometric fl

39 Molecular determinants were identified by covariance analysis of residue coevolution and structura

40 This across subject covariance analysis revealed a region in the right super

41 Covariance analysis suggests heterogeneity of both serot

42 Spatial covariance analysis was applied to scan data from the co

43 HRMS-NMR covariance analysis was carried out to correlate the flu

44 s of covariance and multivariate analysis of covariance analysis) were employed with a Tukey-Kramer p

45 situ using light microscopy and Fluorescence Covariance Analysis.

46 A One-way Analysis of Covariance (ANCOVA) was conducted to evaluate the mean d

47 Analysis of covariance (ANCOVA) was used to determine if clinician-e

48 nalysis (p = 1.56 x 10(-4) in an analysis of covariance (ANCOVA) with an adjustment for unknown laten

49 the typical flight path, (2) the modeling of covariance and anisotropy, and (3) the type of interpola

50 iven sequence samples via a battery of cross-covariance and auto-covariance transformations.

51 We compared eddy covariance and chamber estimates of ecosystem respiratio

52 process model MAESTRA, and (2) combined eddy covariance and chamber respiration data.

53 hen used as seeds for exploratory anatomical covariance and connectivity analyses.

54 Covariance and correlation based PCA are two common appr

55 Analysis of covariance and exact Mann-Whitney tests were used to com

56 This study combines eddy covariance and micrometeorological measurements of surfa

57 statistical approaches (one-way analysis of covariance and multivariate analysis of covariance analy

58 Analysis of covariance and paired-sample t tests were used for stati

59 end of study was compared using analysis of covariance and regression analysis adjusting for selecte

60 hods, our method is able to find significant covariances and also to control false discovery rates, e

61 atistical (one-way between-group analyses of covariance) and clinical effects (clinically significant

62 Statistical (analysis of covariance) and clinical effects (reliable change index)

63 l inputs decrease the variance, increase the covariances, and decrease the autocovariance of synaptic

64 rare variants using a nonparametric distance-covariance approach that compares similarity in multivar

65 atic maintenance of response correlations or covariance, as well as feedforward gain-control models w

66 ded the most powerful single trait set test, covariance association test (CVAT), to a multiple trait

67 method, regularized estimation of the basis covariance based on compositional data (REBACCA), to ide

68 Analyses of covariance based on intention-to-treat analyses were use

69 ole-protein dynamics were evaluated based on covariance-based correlation analysis of all simulations

70 ion of markers with effects, and the genetic covariance between a pair of traits.

71 eritability of height is due to the positive covariance between allelic effects at different loci, wh

72 e correlations revealed different structural covariance between brain regions in susceptible and resi

73 s were the major contributor to the negative covariance between BW and future cardiometabolic risk.

74 This view is supported by inverse covariance between delta(13)C and a range of uplift prox

75 arity can be partly explained by the genetic covariance between environmental variance of birth weigh

76 (ii) Has the genetic covariance between fitness (as measured by total fertili

77 eported better social skills showed stronger covariance between hippocampal activity and "movement" t

78 tion, and exemplify how it can reveal shared covariance between histone modifications and DNA binding

79 ic theory to founder populations, giving the covariance between individuals due to epistasis of any o

80 In particular, we found strong genetic covariance between late-onset Alzheimer disease (LOAD) a

81 le mating success (Bateman gradient) and the covariance between male mating success and postcopulator

82 By contrast, the covariance between maximum height and seed mass strength

83 etic factors contribute significantly to the covariance between myopia and intelligence.

84 r, common garden studies have demonstrated a covariance between neutral markers and functional traits

85 This study shows compelling evidence for covariance between personality and pace-of-life in a nat

86 for future studies investigating the genetic covariance between structural or functional brain phenot

87 residual influences also explain part of the covariance between the 2 traits.

88 cingulate cortex (ACC) and lower structural covariance between the ACC and the cerebellum were obser

89 s often underestimated due to neglect of the covariance between the intercept and the slope.

90 Strong covariance between the methods suggests test-to-test var

91 A genetic covariance between these is expected to lead to nonlinea

92 ive maternal and a negative additive genetic covariance between these two.

93 rk to estimate annotation-stratified genetic covariance between traits using GWAS summary statistics.

94 reduced heritabilities, and altered genetic covariances between traits and that the magnitude of the

95 pport for genetic constraint through genetic covariances between traits, both within sex and between

96 Subspace methods like spike-triggered covariance can recover multiple filters but require subs

97 techniques based on compound match by local covariance (CMLC) and orthogonal signal deconvolution (O

98 in a co-regulated DGP have higher expression covariance compared with the separate, tandem and conver

99 If so, such covariance could be used to predict contacts across inte

100 Here we use empirical models based on eddy covariance data and process-based models to investigate

101 database consists of 143 site-years of eddy covariance data from 22 inland wetland and 21 coastal we

102 ibrated the model using meteorology and eddy covariance data from 25 flux tower sites ranging from th

103 re we address this observation gap with eddy covariance data from 25 sites in the water-limited South

104 carbon flux model, MAESTRA, to predict eddy covariance data from a loblolly pine forest.

105 Covariance data from experiments and computations emerge

106 mates for the same site and years using eddy covariance data only.

107 wed improvement in outcomes, but analyses of covariance demonstrated significant differences in denta

108 0% of the average seasonal variation in eddy covariance-derived CO2 assimilation.

109 ition the variability of seven years of eddy covariance-derived GEP in a central Amazon evergreen for

110 s studies and other research settings, where covariances differ among classes.

111 cid composition (PseAAC) and introducing the covariance discriminant (CD) algorithm, in which a bias-

112 Using analysis of covariance, early physical therapy showed improvement re

113 Eddy covariance (EC) continues to provide invaluable insights

114 l coniferous forests was explored using eddy-covariance (EC) energy and CO2 fluxes.

115 used to successfully conduct the first eddy covariance (EC) flux measurements of GEM.

116 The eddy-covariance (EC) micro-meteorological technique and the e

117 Attempts to combine biometric and eddy-covariance (EC) quantifications of carbon allocation to

118 ine meadow ecosystems, we used a paired eddy-covariance (EC) system to measure carbon fluxes in adjac

119 Flux measurements based on the eddy covariance (EC) technique can overcome these limitations

120 velop an empirical Bayes approach to improve covariance estimates for gene expression, where we assum

121 atial structure to previously published eddy covariance estimates from models, and the eddy heat and

122 Eddy covariance estimates of fluxes at night remained constan

123 emonstrate that our method provides accurate covariance estimates, thereby enabling researchers to di

124 Here, we present SPIEC-EASI (SParse InversE Covariance Estimation for Ecological Association Inferen

125 ly to quit smoking (multivariate analysis of covariance, F8,69 = 4.5; P < .001), regardless of treatm

126 hout the whole brain by using an analysis of covariance family-wise cluster corrected for multiple co

127 Here we report simultaneous eddy covariance flux measurements of NOx, CO2, CO and non met

128 The application of the eddy covariance flux method to measure fluxes of trace gas an

129 d successfully predicts GPP measured at eddy-covariance flux sites.

130 In this study, we combine nested eddy covariance flux tower measurements with satellite remote

131 g-running climate stations and multiple eddy covariance flux towers are combined with simple models f

132 Using nested eddy covariance flux towers, we find both GPP and ER to be la

133 Eddy covariance fluxes were lower than chamber estimates of e

134 Analysis of covariance found the multivariate model that best fit th

135 ndom effects, where the mean surface and the covariance function is specified.

136 We suggest that these covariances have evolved by the strong correlational sel

137 etic effects account for the majority of the covariance in both males and females.

138 effects explain a greater proportion of the covariance in males, whereas the association is primaril

139 Rate covariance in PC inputs also accounts for the high coeff

140 Eigengenomes reflect covariance in the abundance of short, fixed-length seque

141 the analyses of both genetic and non-shared covariances in the selected models in the new analyses.

142 Analysis of covariance indicated a significant association between A

143 ss, indicating that climate effects on trait covariance indirectly influence diversity at local scale

144 on and mode of dinucleotide-based auto-cross covariance into an ensemble classifier of clustering app

145 ing was used to decompose the cross-disorder covariance into genetic and environmental factors.

146 ortance of incorporating RTM and analysis of covariance into the design and reporting of clinical stu

147 lizes a decomposition of trait variances and covariances into genetic and environmental parts.

148 d convergent configurations, and this higher covariance is caused by more synchronized firing of the

149 notypes in pedigrees, permutation tests, and covariance kernels.

150 ar boreal forest-wetland landscapes and eddy covariance landscape net CO2 flux measurements suggest a

151 ion of various LDA-based methods is that the covariance matrices are the same across different classe

152 ing of genetic networks (therefore different covariance matrices) across different diseases has been

153 or analytic modeling of the genetic variance-covariance matrix ( G: ) to reduce the dimensionality of

154 The PCA for residual covariance matrix allows analyzing each pseudo principal

155 model including fixed effects and a genomic covariance matrix are linearly transformed to estimate t

156 nvironmental random effect, we constructed a covariance matrix based on a Gaussian radial basis funct

157 show that the off-diagonal entries of their covariance matrix correspond to a rank-one matrix.

158 Indeed, in cross-validation tests, the covariance matrix estimator with this structure consiste

159 , we propose to perform the PCA for residual covariance matrix instead of the phenotypical covariance

160 ibbs sampler; the liability-scale phenotypic covariance matrix is based on the GRM, and a heritabilit

161 model transformation was used to whiten the covariance matrix of polygenic matrix K and environmenta

162 hm of model transformation that whitened the covariance matrix of the polygenic matrix K and environm

163 subjective interpretation of the univariate covariance matrix or by applying multivariate modeling t

164 cious block decomposition of the conditional covariance matrix such that the evolutions of different

165 tes for gene expression, where we assume the covariance matrix takes a block diagonal form.

166 oad impact eQTL when constructing the sample covariance matrix used for the random effect in a mixed

167 ovariance matrix instead of the phenotypical covariance matrix, based on which multiple traits are tr

168 ranked using the leading eigenvector of this covariance matrix, because its entries are proportional

169 gistic regression model with an exchangeable covariance matrix.

170 with a random intercept and an unstructured covariance matrix.Short-term changes in energy intake (P

171 imal dropout), repeated-measures analysis of covariance may fail to detect a treatment effect.

172 e conducted a full year of simultaneous eddy covariance measurements at two conventional drained agri

173 To study this, we compared 5 years of eddy covariance measurements of H2 O and CO2 fluxes over a ri

174 e we evaluated 121 site-years of annual eddy covariance measurements of net and gross CO2 exchange (p

175 We combined these data with concurrent eddy-covariance measurements of whole-ecosystem CO2 and CH4 e

176 oprene emission estimates from aircraft eddy covariance measurements over the Amazonian forest.

177 We collected eddy covariance measurements to quantify the net ecosystem ex

178 Here, based on eddy covariance measurements, we show that the difference in

179 Second, it discusses how the use of eddy covariance method has grown and evolved.

180 ld measurements of N2O fluxes using the eddy covariance method.

181 butions and future opportunities of the eddy covariance method.

182 uce forest in interior Alaska using the eddy covariance method.

183 ametric Kruskal-Wallis tests and analysis of covariance methods were used to evaluate the diagnostic

184 The tool computes three covariance metrics: mutual information, chi-square stati

185 etween treatment groups using an analysis of covariance model that adjusted for baseline distance con

186 lculated using repeated measures analysis of covariance model that adjusted for treatment and baselin

187 able Cox regression model and an analysis of covariance model.

188 Multivariate analysis of covariance models (ANCOVA) was constructed in a stepwise

189 ecmarker, a method based on manually curated covariance models capturing the specific tRNASec structu

190 Longitudinal mixed models and analysis of covariance models were used to assess the effect of diet

191 In intention-to-treat analysis of covariance models, with adjustment for baseline neurolog

192 Using nested wetland and landscape eddy covariance net CH4 flux measurements in combination with

193 o acid sequences and identified an extensive covariance network.

194 s and visualization tool that we use to find covariance networks that can predict molecular functions

195 Many studies report eddy covariance nighttime flux lower than flux from extrapola

196 Eddy covariance nighttime fluxes are uncertain due to potenti

197 es through correlation maps constructed with covariance NMR, bypassing the need for preliminary peak

198 satellite-derived estimates of GPP with eddy-covariance observations of GPP in two deciduous broadlea

199 This covariance of [ATP] with [5-InsP7] provides direct suppo

200 The covariance of CAST and ASD diagnostic status (DAWBA, ADO

201 th the glacial termination, given the strong covariance of CO2 levels and Antarctic temperatures.

202 we examined the class-dependent variance and covariance of electrophysiological parameters and identi

203 ch nonlinear relationships caused by genetic covariance of environmental variance of one trait and th

204 oxes within 60 m upwind of the EC tower, the covariance of GEM concentration and vertical wind speed

205 ying genetic architecture of gene regulation.Covariance of gene expression pairs is due to a combinat

206 oded features of movement based on the cross-covariance of motor signals and movement.

207 nal canonical correlation analysis to assess covariance of nucleic acid sequencing datasets such as c

208 al filter, whose weights were adapted to the covariance of ongoing LFP.

209 ays and knowledge bases, and analysis of the covariance of ovary gene expression with surface water c

210 Analyses of the correlation or covariance of regional brain structure and function appl

211 titioning fluorophore and the pixel-by-pixel covariance of spatio-temporal fluorescence changes analy

212 The variance and covariance of the data objects are used for determining

213 of chromatographic misalignment and spurious covariance of the detected signal, enhancing the discove

214 the energy in the mean and the trace of the covariance of the fluctuating turbulence.

215 Furthermore, the trial-by-trial covariance of the induced responses recapitulated the pa

216 markers only, which is used as the variance-covariance of the segment effects in a model that also i

217 volutionary rates is often confounded by the covariance of these traits.

218 be predicted accurately if the variances and covariances of the thermal excursions of its atoms from

219 We employed a three-way analysis of covariance on FC to conduct statistical analyses.

220 mean 25+/-5 versus 31+/-6 mm Hg; analysis of covariance P=0.022).

221 tistical evaluation consisted of analysis of covariance (P <0.05).

222 ed intention to treat (n = 340) (analysis of covariance, P = .022; mixed model for repeated measures,

223 nstrated significant (fixed effects: P<0.05; covariance parameters: P<0.10) residual variability in t

224 Abnormal covariance pattern of regional metabolism associated wit

225 ith a reproducible disease-related metabolic covariance pattern that may help to distinguish this dis

226 The identified covariance patterns contribute to ameliorate the "obstet

227 agnosis based on the expression of metabolic covariance patterns for IPD, MSA, and PSP.

228 Whole-brain structural covariance patterns of 133 participants at UHR for psych

229 d reveals sustained systematic stratigraphic covariance, precluding nonatmospheric explanations.

230 In combination with covariance processing, the result is a high-quality, hig

231 In the present study, conservation and covariance properties derived from both sequence and str

232 Patterns of structural covariance (PSCs) derived by NMF were highly reproducibl

233 coordinates (dpPCA) as options to construct covariance (Q) or correlation (R) matrices.

234 ), effectively predicting within the spatial covariance range.

235 Using eight-year-long eddy covariance records collected above a hardwood deciduous

236 A nested mixed model analysis of covariance revealed that the intervention was successful

237 traits shared genetic determination (genetic covariance rhoG 0.747 +/- 0.058, p = 2.85 x 10(-9)).

238 Implemented adjustments of covariance scores include phylogeny correction, correcti

239 However, the empirical variability and covariance seen across multiple parameters are rarely in

240 gorithms for sparse neighborhood and inverse covariance selection.

241 An analysis of covariance showed that lower BIS scorers exhibited large

242 Analysis of covariance showed that mean IOP reduction with LBN was n

243 Analysis of covariance shows that NPP is significant greater at most

244 vel records are not available, and employs a covariance shrinkage algorithm to achieve robustness.Mul

245 ack loop enabled the model to mimic variance/covariance structure in each monkey, and to estimate the

246 We examined the covariance structure of 12 different retinal cell types

247 technique that allows exploring the variance-covariance structure of a set of data, through a few lin

248 xploration of the nature of asymmetry in the covariance structure of competitive systems.

249 The proposed model could fit the variance/covariance structure of ipsiversive and contraversive sa

250 Our test isolates the covariance structure of neutral competition, thus facili

251 e key idea of our method is to transform the covariance structure of the data, so it can be used in d

252 hidden units to most effectively capture the covariance structure of the input data.

253 is tests about the mean relationship and the covariance structure within the rows and columns.

254 epeated measures through a compound symmetry covariance structure, the S:D ratio was higher in DCM pa

255 Our study identifies the set of covariance structures for the upstream cells that optimi

256 selection-based procedures to tackle complex covariance structures of gene-gene interactions.

257 Thus, covariance structures that maximize information in neura

258 ch as the use of linear models (with various covariance structures), and analysis using restricted ma

259 uate to explain the observations of the eddy-covariance systems, which must now be questioned for the

260 ovide top-down flux estimates using the eddy covariance technique.

261 ave reported anomalous CO2 uptake using eddy-covariance techniques in arid and semiarid ecosystems.

262 -effects repeated measures model analysis of covariance that included data from all available stages

263 ally available; however, due to their strong covariance, this is the least desirable pair of carbonat

264 ake spectral derivatives prior to performing covariance to emphasize coincident peak maxima.

265 We performed analysis of covariance to evaluate if 1 additional year of exposure

266 We used analysis of covariance to examine associations of various demographi

267 (BAnOCC: Bayesian Analysis of Compositional Covariance) to estimate a sparse precision matrix throug

268 riment, a forest chronosequence, and an eddy-covariance tower for model parameterization and evaluati

269 s via a battery of cross-covariance and auto-covariance transformations.

270 the probability distribution of interspecies covariance under Brownian motion and Ornstein-Uhlenbeck

271 Structural covariance was assessed by correlating local volume betw

272 ed model, one-way between-groups analysis of covariance was conducted to compare the ONH parameters o

273 An analysis of covariance was conducted to evaluate the impact of retin

274 ground soils (without Hg-enriched soils), no covariance was detected, indicating fluxes below the det

275 for the default-mode network, and increased covariance was observed for the motor and executive cont

276 articipants who did not, aberrant structural covariance was observed in the salience, executive contr

277 Significantly reduced structural covariance was observed in the UHR sample compared with

278 Analysis of covariance was performed on the 6-month change in systol

279 -dose dexamethasone, and two-way analysis of covariance was performed using maternal and paternal PTS

280 This cerebellocerebral structural covariance was strongest in SZ, suggesting common underl

281 Logistic regression and analysis of covariance was used to assess associations with exposure

282 Analysis of covariance was used to examine changes in health status

283 gh field MRI and the principle of structural covariance, we derive a structural network showing how m

284 By performing multivariate analysis of covariance, we identified significant associations of th

285 ) were extracted, and voxel-wise analyses of covariance were conducted to compare the association bet

286 s of variance, and multivariable analysis of covariance were performed on the annualized number of ra

287 Univariate analyses and analysis of covariance were used to investigate recipient-, surgical

288 We used analysis of covariance while controlling for baseline values to exam

289 network structure by combining fast spiking covariance with a slow evolution of synaptic weights.

290 , repeated-measures multivariate analysis of covariance with age (in months) and tobacco smoking (in

291 mined by using two-way factorial analysis of covariance with age adjustment.

292 -Meier analysis and analyses of variance and covariance with ApoE4 status and age as covariates.

293 y-two chemicals were significantly linked by covariance with expressed genes.

294 inter-trial variance of eye position and its covariance with eye end position were evaluated.

295 ong the IQ-based subgroups using analysis of covariance with intracranial volume and age as covariate

296 Analysis of gene expression covariance with matched measurements of time since divis

297 the medicinal components of diets and their covariance with other dietary components, such as macron

298 Analysis of covariance with planned contrasts showed no differences

299 reproduction could be facilitated by genetic covariance with this subcomponent of EPRS.

300 Within this optimal family are covariances with "differential correlations", which are