ライフサイエンスコーパス: linear correlation

1 Correlations were performed using linear correlation.

2 ariation of the parameter T(sep) in a nearly linear correlation.

3 epigenome and the transcriptome exhibited a linear correlation.

4 A strong linear correlation (-0.82<r<0.86) was found between anth

5 nalysis of spiked plasma samples obtaining a linear correlation, a recovery of 99.0+/-0.9% and a quan

6 no significant difference in the strength of linear correlation according to sonication time, cirtrul

7 For samples heated with hot air, the best linear correlation achieved was R(2)=0.90 and by microwa

8 ples spiked with pure compounds, obtaining a linear correlation, adequate sensitivity with a limit of

9 A linear correlation also exists between the sensor sensit

10 nd corneal pneumatonometry showed nearly 1:1 linear correlation, although scleral pneumatonometry was

11 Linear correlation among volatile compounds and general

12 To find linear correlations among the conductance parameters mai

13 ients (P < 0.05), and there were significant linear correlations among these parameters (r(2) > 0.83)

14 SUVs) from the 2 devices were compared using linear correlation and Bland-Altman plots.

15 Bronsted plot to a moderately scattered but linear correlation and gives a very good Hammett correla

16 Linear correlation and Granger causality analyses were p

17 Linear correlation and regression analyses were used to

18 r electrocatalysts, as well as insights into linear correlations and non-innocent ligands, are also d

19 Linear correlation appeared between the antioxidant prop

20 Linear correlations are found for both protonation and a

21 Linear correlations are observed between the activation

22 blished kinetic techniques, and two separate linear correlations are observed versus known C-H bond s

23 e five examples of Se-aryl selenocarbamates, linear correlations are observed with three different (1

24 This peculiarity allows for a linear correlation at high wavelengths between the ee of

25 On the basis of patient sample data, a good linear correlation between %GHbA1c values determined by

26 There was an excellent linear correlation between (11)C-PiB and (18)F-AZD4694 n

27 (3) The previously reported linear correlation between activation barriers and the e

28 The camera demonstrated linear correlation between activity and counts into the

29 We found a linear correlation between Ag NP toxicity and dissolved

30 There was a linear correlation between age and the cubic roots of sF

31 We found a linear correlation between alcohol-induced increase in m

32 tri-fusion reporter gene expression showed a linear correlation between all three-reporter proteins (

33 There is a strong linear correlation between amplitude and peak velocity o

34 A linear correlation between binding affinity for C3aR and

35 Similarly, a linear correlation between boron and NDMA rejections was

36 We report a strong linear correlation between catalytic domain complementat

37 type 1 copper-containing proteins reveals a linear correlation between change in hydrophobicity and

38 ion progress in all experiments, revealing a linear correlation between CO2 uptake and carbonation ra

39 A non-linear correlation between cyclic voltammetric results a

40 ese NP-protein systems indicate an excellent linear correlation between DeltaH and TDeltaS with a slo

41 kinetics of release were substantiated by a linear correlation between depolarization-evoked capacit

42 The approach also yielded a linear correlation between determined and actual layer t

43 A direct linear correlation between dP ratio and curvature ratio

44 There was a linear correlation between endocardial scar area (<1.5 m

45 Furthermore, we observed a linear correlation between FcRn column retention times o

46 As a result of this comparison, a linear correlation between FSN and total particulate sur

47 A linear correlation between Gag-polymerase (Gag-Pol) leve

48 splant subjects, there was a strong positive linear correlation between glomerular filtration rate (G

49 mice from conception until weaning induces a linear correlation between growth restriction and DNA me

50 cell lung cancer xenograft model studied, a linear correlation between Hsp90 occupancy and tumor gro

51 Using optimized desorption conditions, a linear correlation between IR-MALDESI ion abundance and

52 The linear correlation between LA and HA binding energies su

53 Furthermore, there was a linear correlation between LA fibrosis and serum PICP le

54 This initial report demonstrates a linear correlation between ligand similarity and biologi

55 phere electron transfer, suggesting that the linear correlation between log(k) and E1NAC is best rega

56 The results obtained indicate a linear correlation between matrix effects and the logari

57 A linear correlation between membrane relative permeabilit

58 tivity was quantified using the slope of the linear correlation between MSNA and diastolic pressure d

59 There was a significant negative linear correlation between Na(+)(indirect) and Na(+)(dir

60 square of the Pearson coefficient R for the linear correlation between observed reaction rates and a

61 We found a strong linear correlation between OSN number and TGV, suggestin

62 There was a linear correlation between outflow resistance at baselin

63 There was a linear correlation between PhiHO(*) and PhiF, suggesting

64 The strong linear correlation between PM0.1 and particle surface ar

65 d confirmed the large size of mPFC PSs and a linear correlation between presynaptic features of typic

66 and large capsules by dynamic LS revealed a linear correlation between PS effective diameter and mic

67 A linear correlation between released and detected calcium

68 There was a linear correlation between SEPs and BOLD fMRI over the f

69 There was a positive linear correlation between sonographic tumor measurement

70 The linear correlation between sxtA1 gene copy number and mi

71 The results reveal a non-linear correlation between the 1 e(-) and 2 e(-)/2 H(+)

72 erlapping 2 Mb windows reveals a strong, non-linear correlation between the amount of heterozygosity

73 urrent analyses (n = 30) showed an excellent linear correlation between the amount of pesticides tran

74 2 to 5 log10copies/ml), and there was strong linear correlation between the assays (R(2)= 0.99), with

75 erived optoelectronic properties uncovered a linear correlation between the bond order of the fused a

76 In addition, we show an approximate linear correlation between the C=O stretching frequency

77 mon polymorphic variant (Val108Met) yields a linear correlation between the catalytic efficiency and

78 A linear correlation between the catalytic oxidation curre

79 The measurements are based on the strong linear correlation between the concentration of paramagn

80 The results established a linear correlation between the DNA dose and the BLI resp

81 tokine in vivo, and we observed a remarkable linear correlation between the fraction of CD4+ cells an

82 There was a strong negative adjusted linear correlation between the HbF level and the total n

83 106-107 A(3)) entering/exiting 1, we found a linear correlation between the host-guest affinities (De

84 In contrast, there is excellent linear correlation between the hydrophobicity of a side-

85 her analysis has revealed the existence of a linear correlation between the level of the influx of Ca

86 The results show a linear correlation between the logarithm of the critical

87 There is a linear correlation between the molybdenum Em value and b

88 r optimized conditions revealed an excellent linear correlation between the monitored voltammetric pe

89 We find a linear correlation between the normalized MALS intensity

90 The analysis of DOM isolates showed a strong linear correlation between the number of electrons donat

91 ssay, performed on isolated islets, showed a linear correlation between the number of islets and (111

92 Although there was a linear correlation between the number of wild-type CD3 I

93 Our results revealed a satisfied linear correlation between the peak current of different

94 On the basis of a linear correlation between the percentage of TFAs in the

95 A good linear correlation between the pKa's for 3 and 3' disubs

96 A linear correlation between the rate constant and the bon

97 mechanistic framework is corroborated by the linear correlation between the reaction rate and the red

98 There is a strong linear correlation between the redox potential for the d

99 We evidence a linear correlation between the reducibility of the mater

100 There was a significant linear correlation between the reduction in betaCTX in t

101 We do not observe a linear correlation between the relative interaction ener

102 There was a statistically significant linear correlation between the results obtained by autom

103 A positive, significant linear correlation between the results obtained by FI-CL

104 We found a linear correlation between the size of the tail and the

105 A linear correlation between the SPION concentration and r

106 There was a linear correlation between the stimulus to QRS duration

107 s of our previous results, we found a direct linear correlation between the total amount of the LTCC

108 Linear correlation between the values, measured by apply

109 It was found that there is a linear correlation between the VH cystine concentration

110 SEM and AFM measurements verified a linear correlation between the widths and heights of the

111 theory calculations reveal an approximately linear correlation between these three properties and an

112 tivity was quantified using the slope of the linear correlation between total activity and diastolic

113 Significant linear correlations between acoustic impedance and Young

114 There were significant linear correlations between adipose and muscle MBF (r=0.

115 We performed linear correlations between biomarkers and logistic regr

116 titution pattern and solvent) with excellent linear correlations between emission energy and solvent

117 There were significant modest linear correlations between IGR-derived CI and cardiac m

118 Linear correlations between individual aqueous humor dyn

119 obility and enzyme activity was not evident, linear correlations between ln[(k(cat)/K(M))(app)] and (

120 We also found significant linear correlations between nicotine and total PAH level

121 likely to be 8days, and there were positive linear correlations between quality indices (QI) and sto

122 at urine and PBS buffer-spiked samples, with linear correlations between resonant frequency signals a

123 We observed strong linear correlations between Riley's approximation of phy

124 Linear correlations between rotavirus kobs and specific

125 r ordinal parameters) demonstrated a lack of linear correlations between sCA and dCA measures.

126 ion based on an earlier study, there were no linear correlations between sCA and dCA.

127 and poly(ethylene glycol)-coated SPIONs gave linear correlations between SPION concentration and R(1)

128 We found strong linear correlations between the concentrations of these

129 Linear correlations between the E-peak and heating at T2

130 intermediate DeltarG values showed negative linear correlations between the natural logarithm of the

131 We also found linear correlations between the theoretically calculated

132 ty-functional theory calculations, we reveal linear correlations between vibrational frequencies of a

133 c distribution, statistics such as Pearson's linear correlation coefficient "r" and Spearman's rank c

134 ide linear range 0.03-600 ng/mL) with a good linear correlation coefficient (0.9999), a high detectio

135 16.3 (range, 2.5-117.5), resulting in a high linear correlation coefficient (r = 0.96, P < 0.0001, fo

136 agnitude of dynamic range is achieved with a linear correlation coefficient (R(2)) of 0.997 for DNA,

137 The linear correlation coefficient (r(2)) value between the

138 The overall linear correlation coefficient (r) between the calculate

139 Additionally, a high linear correlation coefficient in the SUVs for the PET i

140 l comparison between groups, whereas Pearson linear correlation coefficient test was used to examine

141 The Pearson linear correlation coefficient was used to assess correl

142 s, and 0.1-3.98 ng/mL for sulfonamides, with linear correlation coefficients higher than 0.97.

143 and an independent sample set giving strong linear correlation coefficients of prediction (rPred)>0.

144 Pearson R and linear correlation coefficients were calculated for AP a

145 Good linear correlation coefficients, 0.9901, 0.9921, and 0.9

146 ata segregated into two distinctly different linear correlations depending on the nature of the subst

147 These linear correlations enable the prediction of reduction p

148 ween hospital RSMRs and RSRRs using weighted linear correlation; evaluated correlations in groups def

149 A linear correlation existed between bead mass and rate of

150 A sensitive linear correlation existed between the absorbance and th

151 Notably, a strong linear correlation exists between Cr(VI) removal capacit

152 A very strong linear correlation exists between the plasma and DBS cit

153 Instead, the linear correlation for human rotavirus inactivation rate

154 rmining hydrogen-atom transfer (HAT), with a linear correlation for log k versus BDE(C-H), and the fo

155 From UV and MS detection, a linear correlation for quantitation is obtained.

156 ear correlations for NF fractions and a weak linear correlation for UF fractions.

157 ogression of fibrosis rate/year had a direct linear correlation for YKL-40 (r = 0.892, P < .001) and

158 nt capacity and PC1 and PC2 displayed strong linear correlations for NF fractions and a weak linear c

159 Linear correlations for the release of U vs V and As vs

160 ation-pi interactions is demonstrated by the linear correlation found between the logKa in methanol s

161 In rats, this linear correlation had a slope of 0.96 +/- 0.05 (mean +/

162 he UV absorbance at 380 nm (with significant linear correlation in the 0-87 muM GSH range and a limit

163 ctron donors and acceptors does not follow a linear correlation in the Hammett plot.

164 ation curve of monacolin K (lactone form), a linear correlation in the range 6-119microg/mL was found

165 More importantly, a linear correlation is found between the branching ratio

166 Specifically, a linear correlation is found between |DeltaC| and the mag

167 A strong linear correlation is observed between cell-free express

168 A linear correlation is observed between log(TOF) vs E1/2(

169 here a new strategy based on ordering (ORD), linear correlation (LCOR) algorithms, and their coupling

170 A linear correlation model was used to evaluate the relati

171 h responses to red light, with a significant linear correlation observed between pupil diameter and H

172 Our studies further suggest that the linear correlation observed between the experimental cha

173 The linear correlation obtained by plotting theoretical boil

174 ares optimization and lasso) showed a strong linear correlation of 0.94 and an accuracy of 0.98 in pr

175 abeling as well as Raman conditions, and the linear correlation of diagnostic peak intensity to SNP t

176 the results displayed a significant inverse linear correlation of Env divergence and protection from

177 An inverse linear correlation of median number of breaths (r = -0.8

178 as confirmed by end-capping reactions and a linear correlation of molecular weight with percent conv

179 of the liquid chromatography method, where a linear correlation of more than 0.99 was achieved.

180 We find a linear correlation of multiple spectroscopic features wi

181 rocedure was applied to the abdomen phantom, linear correlation of phantom and patient Hounsfield uni

182 In-vitro tests showed a linear correlation of R(2)=0.998 between sensor values a

183 A Hammett study showed a linear correlation of sigma and sigma(-) parameters with

184 An excellent linear correlation of the calculated effective ionizatio

185 The results also revealed a linear correlation of the concentration of PGG(2) with a

186 A linear correlation of the magnetic-field-induced change

187 We observe picoliter sensitivity with linear correlation of voltage to volume extending to the

188 Linear correlations of (13)C-AKIE vs (15)N-AKIE were dis

189 kinetic resolutions versus % conversion, and linear correlations of enantiomer composition of catalys

190 For 1-alkyl-3-methylimidazolium ILCs, linear correlations of ionic volumes with the occurrence

191 Linear correlations of ten superbase basicities vs that

192 Linear correlations of the form In chi = -alpha ((DeltaG

193 ation in each mineral phase with approximate linear correlations, offering a method to estimate of U(

194 In the first approach, we used a linear correlation parameter by computing a Pearson corr

195 A linear correlation (r > 0.995) between the storage time

196 dual (r = .54; p < .05) and intra-individual linear correlation (r = .46 up to r = .73 and p < .05, r

197 restingly, MYCN and TrkA expression showed a linear correlation (r = 0.5664, P < 0.00005) in neurobla

198 A linear correlation (R = 0.57, P < .0001) was found betwe

199 The acuities were shown to have a strong linear correlation (r = 0.95) and a mean difference in a

200 re to the template gray scales allowed for a linear correlation (r = 0.9946; 95% confidence interval:

201 Excellent linear correlation (R = 0.9997) was obtained between cor

202 ant; however, there was a highly significant linear correlation (r(2) = 0.835, P < 0.0001) between th

203 The results of this study reveal a strong linear correlation (R(2) = 0.95) between the rejections

204 The enhancement reveals a linear correlation (R(2) = 0.98) to the target DNA conce

205 PA and the drug concentrations showed a good linear correlation (R(2)=0.56).

206 line cellular sensitivity to rGel revealed a linear correlation (R(2)=0.80) with HER2 expression.

207 A good linear correlation (r(2)=0.962) between theoretical and

208 t targeted MRI was illustrated by a positive linear correlation (r(2)=1.0) between in vivo MRI signal

209 the average coefficient of determination for linear correlation, R(2), were very high: 0.95 and 0.98,

210 A linear correlation (R2=0.96) was found between the NACs'

211 Graphical models describe the linear correlation structure of data and have been used

212 Discussed also are the remarkable linear correlations that exist between the ring-current

213 ECV demonstrated the best linear correlation to final IS at a threshold of >46% (R

214 alcohols by either 1 or 5 displays a strong linear correlation to Hammett parameters (r > 0.99) with

215 e-to-red color transition is restored with a linear correlation to the dichlorvos concentration.

216 The position of equilibrium showed a linear correlation to the Kamlet-Taft solvatochromic sca

217 dation peak at a consistent scan rate showed linear correlation to VFA concentration and peak current

218 We are able to use these linear correlations to improve reaction enantioselectivi

219 A similar linear correlation was also observed between the proton

220 This linear correlation was also validated in a tertiary trea

221 Surprisingly, this linear correlation was biphasic, with accelerated hydrol

222 High linear correlation was confirmed between automated and m

223 The significant linear correlation was confirmed between the values for

224 A linear correlation was demonstrated between central macu

225 A linear correlation was demonstrated between the affinity

226 A linear correlation was established among different matri

227 Additionally, a linear correlation was established between the reduction

228 Linear correlation was found between A(1) and lesion siz

229 No linear correlation was found between ACT and thrombotic

230 A linear correlation was found between mitral annulus disj

231 A single linear correlation was found between the amount of NH2Cl

232 A linear correlation was found between the DOX concentrati

233 A significant linear correlation was found between the extension (cm2)

234 A strong linear correlation was found between the logarithms of t

235 For both parameters, a linear correlation was found between the measured values

236 A linear correlation was found between the observed off-ra

237 Overall, good linear correlation was found between the predicted acryl

238 A linear correlation was found in which the percentage cha

239 A negative linear correlation was identified between language later

240 Comparison of the strength of linear correlation was made according to the type of sur

241 A positive linear correlation was noted between the dependencies of

242 A linear correlation was observed at low-medium sigma valu

243 A linear correlation was observed between the change in op

244 In contrast, a very good linear correlation was observed between the electrochemi

245 A linear correlation was observed between the observed rea

246 Increasing linear correlation was observed between tumor coagulatio

247 Excellent linear correlation was obtained between the results meas

248 When considering [DeltaL+Z], the monophasic linear correlation was restored.

249 A linear correlation was seen between (11)C-donepezil volu

250 Strong linear correlations were also demonstrated within-patien

251 Significant positive and negative linear correlations were determined between betalains an

252 Significant linear correlations were established between "A", the hy

253 Linear correlations were found between both the gain and

254 Strong linear correlations were found between TCC and the human

255 Strong positive linear correlations were found between the pressing pres

256 High, linear correlations were found for LV mass (r = 0.95), e

257 lling for confounding variables, significant linear correlations were noted between PD and BOP, PD an

258 Linear correlations were observed between peak exercise

259 In the first case study, linear correlations were observed between the oxidation

260 rrelations were observed were combined, good linear correlations were obtained for data sets generate

261 ction phases were defined for which separate linear correlations were obtained.

262 conditions using paired t tests, and Pearson linear correlations were used to verify the association

263 ding thione derivatives, give a satisfactory linear correlation with a significant negative slope; (i

264 rsus log(k(app,F-)) for these eight showed a linear correlation with a slope approximately 1.

265 L-2 expression provides a highly significant linear correlation with ABT-737 sensitivity (r = 0.6, P

266 ion, 3-deoxythreosone in WSP showed positive linear correlation with age (p < 0.05).

267 he authors examined brain activation and its linear correlation with age between childhood and adulth

268 zing HMAbs, HCVcc neutralization displayed a linear correlation with an antibody concentration betwee

269 ction of tBP and Li(+) concentration shows a linear correlation with device short circuit density J(s

270 ed by IDWbar was found to result in the best linear correlation with half-lives of NP isomers (R(2) =

271 dual-phase cone-beam CT after TACE showed a linear correlation with MR findings.

272 doses of 6-OHDA, HED retention had a strong linear correlation with NET density: HU = 0.0077B(max) -

273 sverse aortic constriction and showed direct linear correlation with picrosirius red collagen volume

274 rative RNFL showed statistically significant linear correlation with preoperative (but not postoperat

275 m(-2), respectively) which showed a positive linear correlation with relaxation kinetics in the corre

276 Aminoactinomycin D demonstrated a convincing linear correlation with respect to the electrical energy

277 erational, however, as advocated by a single linear correlation with sigmap(-) (rho = +0.91), analysi

278 YKL-40 showed a linear correlation with TGF-beta (r = 0.897, P < .001).

279 uptake of (111)In-exendin showed a negative linear correlation with the alpha-cell fraction (Pearson

280 ined using (D/H)Is which exhibits an inverse linear correlation with the annual precipitation amount.

281 In-exendin (% ID/g) showed a strong positive linear correlation with the BCM (Pearson r = 0.82).

282 orter Mouse derived MSCs in nude mice showed linear correlation with the cell numbers and across diff

283 rane permeability assay (PAMPA) and showed a linear correlation with the computational results with R

284 these bimolecular rate constants and found a linear correlation with the concentration of protons, in

285 ents and asymptomatic subjects showed a good linear correlation with the endogenous levels of MMP-13.

286 negative monotonic correlation and negative linear correlation with the intrinsic stability, while O

287 The IC(50) values showed a linear correlation with the K(i) for receptor binding in

288 etonitrile range from 9.3 to 17.7 and show a linear correlation with the logarithm of the exchange ra

289 neurons by afferent fiber stimulation shows linear correlation with the rats' tactile threshold in t

290 urrent amplitudes and was observed to have a linear correlation with the reversal potential of GABAer

291 l (mean F(V), 0.47 min(-1)) showed excellent linear correlation with those obtained by using the firs

292 ter whisker stimulation showed a significant linear correlation with time in the cortex (r(2)=0.545;

293 ntal probes for such interactions, revealing linear correlations with boron-phosphorus internuclear d

294 Positive linear correlations with fish weight were found for both

295 All four MR imaging methods had significant linear correlations with iron and could potentially be u

296 d by the cellular biomarkers had significant linear correlations with malvidin-3-O-glucoside content

297 ese imaging readouts also showed significant linear correlations with measurements of pulmonary funct

298 ount, and DNA concentration exhibited strong linear correlations with seeded cell number, but DNA con

299 ve rhodium-carbon bond strengths display two linear correlations with the corresponding carbon-hydrog

300 , B97-2, and B98 family, provide outstanding linear correlations with the experimental thermodynamic