ライフサイエンスコーパス: correlation between @2 and

1 PCA revealed strong, positive correlations between glucosinolates, isothiocyanates and

2 The direct correlation between PCSK9 and 11-dh-TxB2 suggests PCSK9

3 man left atrial myocardium showed a positive correlation between Rac1 activity and 11beta-HSD2 expres

4 There was a high correlation between 6-month and 3-year RC outcomes for b

5 We calculated partial Pearson correlations between 617 metabolites and 55 foods, food

6 ies (between .25 and .73) and the item-total correlations (between .48 and .83) were equally satisfac

7 ce a method for estimating the local genetic correlation between gene expression and a complex trait

8 Correlation between NMR and a reference chromatographic

9 We identified strong genetic correlations between loneliness, neuroticism, and a scal

10 h BTEs containing mutations showed a general correlation between binding affinity and ability to faci

11 Additionally, we found evidence for a correlation between Htr3a expression and activity.

12 elative to healthy subjects showed a reduced correlation between PE and activity within the ventromed

13 Our results reveal a strong correlation between SIRT1 levels and activity, SIRT1-reg

14 Finally, correlation between expectations and actual behavior sug

15 We also observed a significant correlation between predicted and actual tumor burden me

16 02-0.40) and explained 40% of the phenotypic correlation between epilepsy and ADHD, with the remainin

17 In this study, we have demonstrated a correlation between epigenetic aberrations and adverse e

18 There was moderate negative correlation between EZW constriction and age (rs = -0.53

19 Correlation between ONL thinning and age was not signifi

20 There is a well-known correlation between smoking and age-related hearing loss

21 5, 120.1 kPa +/- 15.4), and there were weak correlations between shear stiffness and age across all

22 colonization model, demonstrating a positive correlation between the biofilm and aggregation phenotyp

23 condition-dependent expression, suggesting a correlation between diversifying selection and allelic d

24 The correlation between appendiceal diameter and Alvarado sc

25 Here we investigate correlations between structural variation and Alzheimer'

26 drug screening is performed showing a clear correlation between drug dose and amount of cells underg

27 We first replicated the inverse correlation between trait anxiety and amygdala-vPFC path

28 Genome-wide association studies revealed a correlation between GSDMB SNPs and an increased suscepti

29 We also showed that the Spearman correlation between genetic and antigenic distances (amo

30 Across patients, the correlation between SUV and apparent diffusion coefficie

31 The correlation between time integral and approximation impr

32 We also identified genetic correlation between COPD and asthma.

33 Correlations between visual counts and automated counts,

34 R5 availability in PTSD in vivo and positive correlations between mGluR5 availability and avoidance s

35 The correlation between symptom severity and baseline mood p

36 These studies assumed that there are correlations between FF volume and behaviour.

37 In contrast, correlations between the VAQ and binocular VA (r = -0.07

38 , 9, 12, 18, and 24 months with progression, correlations between motor function and biomarkers, and

39 as showing the strongest and most widespread correlations between mRNA expression and biometry parame

40 on data sets demonstrated highly significant correlations between MUC1-C and BMI1 in breast cancers.

41 harboring R5 tropic HIV, there was a strong correlation between CCR5 CRPA and both CD4 counts and CD

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

43 Data showed a high correlation between phenolic content and both reducing a

44 ng protein synthesis rates, and the negative correlation between transcript length and both codon ada

45 Data showed high correlations between total phenolics and both antioxidan

46 single nucleotide polymorphism-based genetic correlation between ADHD and BPD in the full and age-res

47 single nucleotide polymorphism-based genetic correlation between ADHD and BPD is substantial, signifi

48 n the caudate tail resulting from a positive correlation between fatigue and brain activation for the

49 of AAS use on brain structure shows negative correlations between AAS use and brain volume and cortic

50 g hormones on BRC1 expression, and a general correlation between BRC1 expression and bud growth inhib

51 counterintuitive, considering the purported correlation between dynamics and catalysis.

52 We present a robust fundamental correlation between annealing temperature and catalytic

53 Correlations between LFP power and CBF, used to estimate

54 Correlations between cytokine concentrations and cell ph

55 Within groups, we further observed positive correlations between cerebellar volume and cerebral cort

56 There is a strong correlation between some pathogens and certain cancer ty

57 onance imaging (MRI) analysis to investigate correlations between symptoms and changes in small- and

58 alignment, with the adjusted R(2) (R(2)adj) correlation between aggregation and charge transport as

59 A positive correlation between microplastic abundance and chlorophy

60 Trial-by-trial correlations between neural responses and choices (choic

61 There was a negative correlation between choroidal reflectivity and choroidal

62 There was a strong correlation between vIL-10 and cIL-10 levels (P = .01).

63 Surprisingly, there was no correlation between repeat occurrence and classical netw

64 to compare groups and investigate voxelwise correlations between FDG metabolism and cognitive score

65 To date, few studies have examined the correlation between maternal viremia and congenital HCMV

66 easures, driven in part by a subtle positive correlation between the transcriptome and connectome.

67 The observed positive correlation between global biodiversity and continental

68 s background, we demonstrate how the natural correlation between numerosities and continuous magnitud

69 We found no significant correlation between immunohaematological complications a

70 In women, the correlations between RBP and CRP and AGP were too weak t

71 At baseline, there was a small correlation between BCVA and CRT in pooled AMD trial dat

72 r either environment, demonstrating a direct correlation between ATPase activity and Cu(I) transport.

73 However, a lack of temporal and spatial correlation between PrP(Sc) and cytotoxicity suggests th

74 and controls with reported ELA, there was no correlation between striatal DAT and D1 receptor binding

75 However, there was a positive correlation between D1 and D2 receptor binding in the do

76 The lack of correlation between hospitals' DTN and D2B times persist

77 al parameters) demonstrated a lack of linear correlations between sCA and dCA measures.

78 ed on an earlier study, there were no linear correlations between sCA and dCA.

79 arameters exhibited additional complementary correlations between BOLD and DCE-MRI and with histopath

80 able cancer data also revealed a significant correlation between PML and DDIT4 expression in several

81 The lack of correlation between PDE4 binding and depressive symptoms

82 a very important and hot topic to study the correlation between methylation and diseases in medical

83 The negative correlations between MRP and DO is marked (r = -0.89).

84 The correlation between disease severity and dopamine loss a

85 wo major value care frameworks, and negative correlations between framework outputs and drug costs.

86 We also observed significant correlations between reading speed and each of the crowd

87 A significant positive correlation between NO and ED was also identified.

88 Finally, we found robust polygenic correlations between cognitive performance and education

89 current dynamics and find a strong negative correlation between AMOC strength and EEA subsurface tem

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

91 There was no correlation between GPBB concentration and either clinic

92 Histological analysis revealed a significant correlation between tumour necrosis and elastic modulus

93 and beverages are presented, as well as the correlation between both spectrophotometric and electroc

94 ch healthy or stroke participant to maximize correlation between model and empirical functional conne

95 In order to elucidate the correlation between defects and enantiomeric excess, fiv

96 The correlation between TSPO and endothelial cell mRNA suppo

97 Correlations between the VAQ and Esterman score were str

98 Correlation between infrastructure and evidence-based ca

99 outside seizure onset, positive significant correlations between perfusion changes and evoked respon

100 The correlation between observed and expected 1-year waitlis

101 lving more than two mutation sites where the correlation between FoldX and experimental data vanishes

102 esolution complexes (</=2.5 A) increased the correlation between predicted and experimental affinity

103 prediction models by calculating the Pearson correlation between predicted and experimental binding a

104 on the log-odds likelihood calculation, the correlation between predicted and experimental DeltaDelt

105 ict ligand affinity with high accuracy (>70% correlation between predicted and experimentally-determi

106 ASE in six genes showed significant negative correlation between promoter methylation and expression

107 microscope positions, we observed a positive correlation between CT and FE imaging as indicated by th

108 This relationship was due to modest correlations between NET complexes and FEV1, symptoms ev

109 This correlation between fNIRS and fMRI was only present when

110 The inverse correlation between Fli1 and FOXO3A was also observed in

111 rometry (2D FTICR MS or 2D MS) allows direct correlation between precursor and fragment ions without

112 equency bias of cone vision and the negative correlation between magnitude and frequency for changes

113 Correlations between species sensitivities and functiona

114 T compound in a label-free assay indicated a correlation between RT and functional effect.

115 We also found a correlation between tumor genomics and functional activa

116 We test for correlation between allele prevalence and functionality

117 logies to characterize the methylome and the correlation between DNA methylation and gene expression

118 We found no correlation between QTL density and gene density at the

119 pression were detected with 528 genes having correlations between copy number and gene expression.

120 MATCHER accurately predicts true single cell correlations between DNA methylation and gene expression

121 nt selection leads to a genome-wide negative correlation between recombination rate and genetic diffe

122 likely to change, potentially modifying the correlation between species numbers and geographic, envi

123 sts were used to examine background seasonal correlation between FluNet and GFT by country.

124 For these assays, standard curves showing correlation between target concentration and gray intens

125 ation carriers it modulated the slope of the correlation between education and grey matter volume (P

126 provide a new evidence to show the positive correlation between HDM2 and HBx in clinical hepatocellu

127 Standardized Fisher transformations of the correlations between cortisol levels and HCVs were calcu

128 patterns in human heart tissues indicates a correlation between expression and heart failure.

129 There were statistically significant correlations between PM10 and heavy metal compounds (oth

130 sis of the liver and plasma shows a positive correlation between obesity and hepatic C18 oxylipin met

131 particular interest is that we find positive correlation between the size and heterogeneity of the co

132 ing in the zebrafish brain recently revealed correlations between the midbrain and hindbrain, demonst

133 or LM diagnosis and kappa value to establish correlations between dermoscopy, RCM, and histopathology

134 There were no correlations between drug concentrations and HIV DNA/RNA

135 ministic changes in the environment; and (d) correlations between these groups and hyporheic metaboli

136 he causal mechanisms that might underlie the correlation between education and identity-based polariz

137 We analyzed correlations between clinical, laboratory, and imaging d

138 ous pigmented facial macules and establish a correlation between RCM, histopathologic, and immunohist

139 c samples of secondary structures revealed a correlation between parameter usage and impact on struct

140 in two independent experiments, and a strong correlation between in vitro and in vivo loss of fitness

141 As expected, correlations between true and inferred risk are typicall

142 In obese children a moderate to good correlation between CAP and insulin levels (r = 0.54) an

143 et out to examine whether there is a genetic correlation between myopia and intelligence in over 1,50

144 The phenotypic correlation between refractive error and intelligence wa

145 he purpose of this study is to determine the correlation between PTSD and intra-operative analgesia,

146 ublished profiling studies showed an inverse correlation between DR5 and Ki67.

147 controls, as well as a significant negative correlation between pH and lactate levels.

148 fter stratifying by statin use, there was no correlation between PCSK9 levels and LDL-C levels (rho =

149 For a better understanding of the correlation between thyroid carcinoma and LFS, tumor pro

150 We demonstrated a significant positive correlation between blood and lip tissue DNA methylation

151 We performed linear correlations between biomarkers and logistic regression

152 [(64)Cu]-LLP2A uptake identified significant correlations between LLP2A signal and macrophage and T c

153 There was poor correlation between RNFL and macular thickness with seru

154 Our study shows that a very strong correlation between magnetic, electrical and magnetotran

155 Correlations between MACL and markers of oxidative stres

156 ght chronologies (74-114 yr) revealed stable correlations between temperature and masting, confirming

157 electron microscope (STEM) can enable direct correlation between atomic structure and materials funct

158 us their association with EA could be due to correlation between EA and maternal smoking.

159 Indeed, a correlation between memory performance and mature spine

160 n model organisms, we found surprisingly few correlations between resource preferences and maximal gr

161 A similar correlation between %flooded area and MeHg concentration

162 In patients, significant correlations between age and memantine effects were dete

163 ytic and regulatory domains reveals a direct correlation between autoinhibition and membrane transloc

164 Correlations between meth demand and meth seeking were a

165 ally methylated regions (DMRs) with negative correlation between their expression and methylation in

166 Furthermore, because we find no correlation between conditioning and MFE accuracy, the p

167 We also analyze potential correlations between m5C and micro RNA target sites, bin

168 ations with Shot deficiency revealed a close correlation between PMS abundance and microtubule regula

169 ective solvation was shown to not affect the correlation between FcP and microviscosity.

170 There was a positive correlation between CSF-1 and MMP-8, which both correlat

171 Positive correlation between CCR4 and MMP2 expression was also ob

172 Continuous measurements exhibited strong correlation between raters and modalities, although not

173 Correlations between granulocyte and monocyte clonalitie

174 There was no correlation between biofilm formation and motility on on

175 Importantly, each cell's correlation between activity and movement was stable bot

176 We found a strong correlation between target and movement tuning for only

177 Correlation between PET and MR ADC histogram metrics was

178 ferent characteristics with often a negative correlation between PET and MR ADC pixel values.

179 We have investigated the correlation between proteins and mRNAs in single cells e

180 el Bayesian model to simultaneously estimate correlations between diversification dynamics and multip

181 Our study highlighted the significant strong correlations between radiomic features and MVD, and also

182 Such spatially resolved correlations between chemistry and nanomechanics during

183 Several correlations between clinical variables and neurocogniti

184 s and patients with devices, but there was a correlation between lesion volume and neurocognitive dec

185 In vivo transplantation verified the correlation between EGFR activity and neurofibroma forma

186 There was a significant, high correlation between the ItchyQuant and NRS (>0.92, P < 0

187 substantial differences, the data show that correlation between SN and nvPM mass concentration still

188 nation in marriage can also account for such correlations between poverty and obesity and is more con

189 rithm to perform this estimation, exploiting correlations between neural activity and observed experi

190 Morphological correlation between histology and OCT at the fovea level

191 Initial correlation between OSA and ocular surface and eyelid ma

192 al-diet induced obesity to define predictive correlations between maternal factors and offspring insu

193 Kingdom (UK) XP service, and to analyze the correlations between XP genotype and ophthalmic phenotyp

194 The lack of correlation between organic aerosol and organic acid con

195 is GWAS meta-analysis to examine the genetic correlation between the condition and other potentially

196 However, there were no correlations between ascorbic acid and other biomarkers

197 This model illustrates the striking correlation between tumor differentiation and overall so

198 The correlation between power measurements and ozone concent

199 tantiated our findings showing that positive correlation between G9a and p53 expression is associated

200 To date, research has mainly focused on the correlation between RAGE activity and pathological condi

201 e intertumor variability was considerable, a correlation between tumor dose and patient dosage level

202 There was minimal correlation between contrast use and patients' AKI risk

203 We found small correlations between modeled and perceived exposure in A

204 This correlation between electron transfer and photocatalytic

205 We discovered a correlation between karyotype changes and phylogeny bran

206 Experimental evidence has shown a close correlation between the composition and physical state o

207 Over the past two decades, correlations between population and PM2.5 have become we

208 es (BRT) analyses helped finding significant correlations between AC and polyphenol profile, being hy

209 We find a universal correlation between extrusion sites and positions of nem

210 Secondarily, the study examined the correlation between dexmedetomidine use and postoperativ

211 nd in vivo findings we observe a significant correlation between MICU1 and pPDH (inactive form of PDH

212 A number of studies have reported correlations between aerosol properties and precipitatio

213 t while RH influences the long-term negative correlations between AOD and precipitation, it did not s

214 Histopathologic evaluation supported a correlation between CXCR4 signal and presence of leukocy

215 xidation of 5mC to 5fC/5caC and the positive correlation between chromatin accessibility and processi

216 nynes using boronic acids and focuses on the correlation between reaction conditions and product sele

217 f 71 human plasma samples uncovered a strong correlation between FX and PTX2 plasma levels.

218 Pearson correlations between tumor DWI and quantitative histolog

219 There was no significant correlation between LOP and radiological scores (r=0.095

220 Based on correlations between the variables and regressions of th

221 Correlation between chimerism and rejection, graft failu

222 There was no significant correlation between LOP and reliable radiological featur

223 The recently demonstrated correlation between disease severity and remyelination e

224 del of productivity trajectories and explore correlations between its parameters and researcher covar

225 fication with monocular lid suturing reduced correlation between left and right cortices (homotopic c

226 trols with a 5-year follow-up and to analyze correlations between disability progression and RNFL deg

227 We demonstrate the strong correlation between conditioning and robustness and use

228 Swedish blood donors, and observed a strong correlation between expression and rs1175550 as well as

229 There was a negative correlation between corticospinal excitability and RT, s

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

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

232 Positive correlation between cfDNA and sCD141 was demonstrated at

233 um score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7

234 Conversely, there was no direct correlation between REM sleep and SCRs, indicating that

235 There was a strong negative correlation between SET and SDW.

236 Correlations between PET uptake and semiquantitative imm

237 eight marine diatoms systems with different correlations between trait values and sensitivities were

238 There was a weak, positive correlation between endotype assignment and sepsis respo

239 There was no correlation between subjective complaints and serologica

240 There was a correlation between liver and serum metabolomes.

241 The correlation between noninfectious complications and SHM

242 This positive correlation between GA-RR and SR-RR was maintained for m

243 The present study found no correlation between dynamic and steady-state CA indices

244 However, a strong positive correlation between mesophyll and stomatal conductance a

245 The results showed that there is a strong correlation between metal concentration and storage time

246 genetic factors account for some phenotypic correlations between functional and structural connectio

247 text]2 loop of residues 167-170, for which a correlation between structure and susceptibility to prio

248 The correlation between tumour size and SUVmax-T value withi

249 parameters in the LABC group as well as the correlation between tumour size and SUVmax-T within each

250 In the LABC group, the correlations between the size and SUVmax-LN values of me

251 There was a strong positive correlation between both pathological and SWI grading.

252 We also find a negative correlation between host dependence and symbiont genome

253 Correlations between ocular findings and systemic featur

254 mogeneity may become a powerful way to build correlation between magnetization and T2 relaxivity of M

255 The results revealed a good correlation between Phoma and TA occurrence during grain

256 Compounds 16 and 18 display good correlation between enzymatic inhibition and target enga

257 Finally, the correlation between spontaneous and task-induced activit

258 We found a significant correlation between IL-34 and TGF-beta1 expressions.

259 The results demonstrate a correlation between hydrocortisone administration and th

260 eptible Nramp1(-/-) mice, there was a direct correlation between bacteremia and the number of bacteri

261 The inverse correlation between BiP AMPylation and the burden of unf

262 An inverse correlation between c-FOS and the LXRalpha pathway was a

263 pression patterns among species and a strong correlation between CorTFL1 expression and the branch in

264 There was a strong positive correlation between exposure concentration and the numbe

265 nt polarity nor radical rotation affects the correlation between FcP and the microviscosity.

266 misphere compared to the left and a positive correlation between gestational age and the level of cer

267 hypothesis, the authors point to an inverse correlation between latitude and the incidence of civil

268 was a high degree of genetic and phenotypic correlation between MetS severity and the individual com

269 dered Met(20) loop states and found a strong correlation between N5 basicity and the conformation of

270 The numerical model effectively resolved the correlation between platelet activation and the various

271 There was a strong correlation between reduction potential and the quantity

272 For eQTLs, we observed a strong correlation between sample size and the proportion of lo

273 intensities of the test lines showed a good correlation between the DRELFA and the qRT-PCR over a 50

274 significant (P </= 0.05) negative phenotypic correlations between carotenoid concentrations and the f

275 Furthermore, the negative correlation between plague outbreaks and their distance

276 ge animals and clinical HIFU system revealed correlation between therapeutic effect and thermal param

277 Correlation between therapeutic effect and thermal param

278 The pH dependence of the rate constants, the correlation between intrinsic reactivity and thiol pKa,

279 Nevertheless, there is little apparent correlation between primary sequences and three-dimensio

280 fic MyD88 deficiency to study the functional correlation between Mer and TLRs in the development of G

281 dge exist in refining the genotype-phenotype correlation between PAX9 and tooth agenesis.

282 The high correlation between Kb and TSPO mRNA suggests that the 2

283 There was a significant but weak correlation between MRC score and twitch pressure (rho =

284 cal specimens uncover a significant positive correlation between CDC42 and type II alveolar epithelia

285 Significant correlations between BMI and unsaturated fatty acids in

286 xalate excretion was 61 mg/day; there was no correlation between fecal fat and urine oxalate excretio

287 xcretion averaged 69 mg/day, with a positive correlation between fecal fat and urine oxalate excretio

288 We assessed the correlation between these metrics and used spline models

289 We found a significant correlation between PCAN and VA for the entire dataset (

290 The correlation between PCAN and VA in this RPD population p

291 We estimated the correlation between functional groups and various enviro

292 n expression screening identified an inverse correlation between Daam2 and VHL expression across a ho

293 Correlations between OCT measures and visual outcome wer

294 The correlation between appendiceal diameter and WBC was 80%

295 s, along with additional negative phenotypic correlations between granulocyte abundance and white mat

296 We show a positive correlation between this ratio and whole body oxygen upt

297 Notably, correlations between density and width shifted from nega

298 The correlation between PMGF and wind parameters was inconsi

299 ntral tendency parameters showed significant correlations between MRI methods and with each of histop

300 In 144 users, there was a significant correlation between VAS-work and WPAI:AS (Rho=0.53, P<0.