ライフサイエンスコーパス: curve fitting

1 ns of each compound (R(2) = 0.99 for a y = x curve fitting).

2 rimental profiles by nonlinear least-squares curve fitting.

3 tion to observed incidence than did logistic curve fitting.

4 rived analytically, but must be estimated by curve fitting.

5 e raw data, as an alternative to exponential curve fitting.

6 t Windkessel model with the use of nonlinear curve fitting.

7 ectivities for m2- or m3-mAChRs estimated by curve fitting.

8 ion, coregistration, MC dosimetry, and voxel curve fitting.

9 ds significantly improved the reliability of curve fitting.

10 such as second-derivative, deconvolution and curve fitting.

11 and biexponential (T2*) models were used for curve fitting.

12 ncluding data normalization, statistics, and curve fitting.

13 rimetry from 10 to 20 degrees C by nonlinear curve fitting.

14 duce the analysis time relative to nonlinear curve fitting.

15 invariant in expression, prior to nonlinear curve fitting.

16 etermined using a bivalent analyte model for curve fitting.

17 of the least-squares method and the integral curve-fitting.

18 inhibitory constants (Ki) were determined by curve-fitting.

19 gression models of PFS and Kaplan Meier (KM) curve-fitting.

20 averaging decay curves before the process of curve-fitting.

21 ted to match a reference image sequence by a curve fitting algorithm based on geometric features.

22 gorithm called PhenoCurve, a knowledge-based curve fitting algorithm, aiming to identify the complex

23 T1 values were calculated using a curve-fitting algorithm on average region-of-interest si

24 Furthermore, using a five-parameter logistic curve-fitting algorithm, the maximal amount of mineral f

25 A panel of metabolites was measured using a curve-fitting algorithm.

26 kinetic models applied to DCE-MRI data using curve fitting algorithms; however, these suffer from dra

27 sure (EDP) were used to derive the diastolic curve fitting (alpha) and stiffness (beta) constants (ED

28 Curve-fitting analyses (LIGAND) showed that binding of P

29 Non-linear curve fitting analysis of [3H]MK-801 saturation experime

30 endations are made for use of a Scatchard or curve fitting analysis of the titration binding curves a

31 ealed a new band at 540 nm and the nonlinear curve fitting analysis showed good fit with 1:1 model.

32 Global curve-fitting analysis of ATP, Tide, and ADP titrations

33 Curve-fitting analysis of the binding data using a model

34 Curve-fitting analysis of the broad luminescence excitat

35 self-deconvolution, neural network (NN) and curve-fitting analysis were applied to the amide I band

36 he population distribution as revealed via a curve-fitting analysis.

37 ted input function led to poor time-activity curve fitting and biased quantification in HTR kinetic m

38 Data were analyzed by smooth curve fitting and by comparison of trends in PT and FHA

39 Curve fitting and dictionary matching were applied to si

40 Smooth curve fitting and multiple logistic regression analyses

41 Its calculation does not rely on curve fitting and provides a direct comparison with the

42 curve fits varied, depending on the type of curve fitting and the state of the pulmonary vasculature

43 nthesize a shape-changing chain for 2D or 3D curve fitting and to employ the chain parameters in step

44 Tcplfit2 is a stand-alone version of the curve-fitting and hitcalling core of tcpl that has been

45 tions compared to the traditional hyperbolic curve fitting, and functions as a novel predictor of for

46 riptomes from various sources and employed a curve fitting approach for linear comparison of cell typ

47 ulation was investigated using Heyman's [24] curve fitting approach in food deprived rats.

48 spectral counts in the gel using a Gaussian curve fitting approach.

49 A simple curve-fitting approach for the retention index (I) calcu

50 l chromatographic integration, followed by a curve-fitting approach, which interpolated high-precisio

51 Unlike most curve fitting approaches, the data is treated in two dim

52 For mixed metals, parameter estimation and curve fitting are accomplished with a generalized least

53 The R(2) values of the curve fittings are >0.90 using a (18)F-FDG 3-compartment

54 ratio (SNR), and in turn, to allow improved curve fitting as demonstrated by lower error bounds for

55 There was excellent agreement (without curve fitting) between simulated and experimental curren

56 new bias correction method based on learning curve fitting by inverse power law (IPL) and compared it

57 sian statistics were used, which facilitated curve fitting by treating all subjects simultaneously.

58 hange correlations, allowing a simple linear curve fitting equation to be used for determining microb

59 The curve fitting estimate had a mean percent error of 1.1-2

60 ne of the two binding components resolved by curve fitting exhibits "equilibrium overshoot".

61 alf-time measurement and also by exponential curve fitting - extracting a fast (phase 2a) and a slow

62 a clearance curves with the goal of reducing curve-fitting failures and dealing objectively with prob

63 First, it enables curve-fitting fluorescence intensity as a function of th

64 he inner filter effect can be modeled during curve fitting for more accurate Michaelis-Menten paramet

65 The simplex method is compared to curve fitting for the analysis of time-of-flight data, a

66 Digital simulation and curve-fitting for an EC mechanism using a predetermined

67 d automatically using a previously published curve-fitting heuristic from the relationship between pr

68 With analysis of variance (ANOVA) and power-curve fitting, improvement with practice rate and mean d

69 plying complex nonlinear least square (CNLS) curve fitting in order to obtain electrochemical equival

70 e standard method of nonlinear least-squares curve fitting incorrectly estimates the fluorescence lif

71 The curve fitting is done on complex-valued data using an it

72 Using neural network-based curve fitting, it was further possible to simultaneously

73 e of clearance determined by monoexponential curve fitting (K(mono)) and the efflux rate constant k2

74 thodology involves a multivariate resolution curve fitting known as non-negative matrix factorization

75 and reheating, the latter is rarely used in curve-fitting, leading to a significant loss of informat

76 e was estimated using 2 methods: independent curve-fitting manual method (Levenberg-Marquardt-based a

77 An automated curve fitting method was applied to determine CPP at the

78 In contrast, the curve-fitting method reproduced P(mci,i) with great accu

79 of CPPopt was calculated using an automated curve-fitting method that determined the cerebral perfus

80 coefficient maps with a novel wavelet-based-curve-fitting method that provides significantly improve

81 R1 values estimated by the ROI time-activity curve-fitting method were slightly lower ( approximately

82 From the curve-fitting method, k(c) = 0.9 +/- 0.2 s(-1) and K(m)

83 This curve-fitting methodology offers improved growth predict

84 Slopes from two input-output curve fitting methods as well as the maximum MEP of glut

85 e significant number of cases where Gaussian curve fitting methods for quenching analysis are most po

86 correctness curves and strongly outperforms curve-fitting methods and entropy-based rules of thumb.

87 The graphic and curve-fitting methods were also compared for their abili

88 r, by fitting time course data using routine curve-fitting methods.

89 plasmon resonance (BIACORE) and formulated a curve-fitting model that takes into account cooperative

90 A biexponential curve-fitting model was used to derive the relative sign

91 tional hazards multivariable regression; and curve-fitting modeling were used to examine apoA-II infl

92 ltering options (e.g. Williams' trend test), curve fitting models, Linux and Macintosh compatibility

93 This multicenter cohort study used nonlinear curve-fitting models to analyze electrically evoked comp

94 For curve fitting, nCal provides a new implementation of a r

95 y method performed over 140-fold faster than curve fitting, obtaining whole volume perfusion maps in

96 EC50 was determined by non-linear regression curve fitting of concentration-response data.

97 better model than the Gaussian function for curve fitting of electrophoresis bands.

98 Nonlinear curve fitting of metal titration curves using the multip

99 dea of this concept is based on an automated curve fitting of most relevant vibrational bands to calc

100 Quantitative analysis by global curve fitting of properly designed dose-dependent GPCR a

101 ility (DbO2.cbO2) were obtained by nonlinear curve fitting of the current transients using the Shoup-

102 Furthermore, curve fitting of the distance heterogeneity present in t

103 Curve fitting of the inhibitory relationship yielded an

104 t CYP3A4 concentrations relative to K(D) and curve fitting of the resultant equilibrium binding titra

105 of these peptides was possible, thanks to a curve fitting of these spectra.

106 rophotometer are determined by simple linear curve-fitting of Raman intensities of a series of water

107 e analysis involving nonlinear least-squares curve-fitting of sedimentation velocity distributions to

108 od to obtain two properties of the cell from curve-fitting of the impedance spectrum.

109 ane resistances were determined by nonlinear curve-fitting of the impedance vectors at relatively low

110 ion, registration, dose-rate estimation, and curve fitting) of the RPT dosimetry process and then to

111 his conclusion is not dependent on extensive curve-fitting or structural perturbation of protein stru

112 tion to omega(2)t regarded as the additional curve-fitting parameter.

113 used differential equations, image analyses, curve fittings, parameter estimation and laboratory expe

114 interaction (in the 2.4-4.0 A range) in the curve-fitting parameters were unsuccessful.

115 Curve fitting permits false discovery rate-based classif

116 This framework offers a curve-fitting procedure for five parameterisations of th

117 using the K1 and K2 values obtained from the curve-fitting procedure, indicating that the equilibrium

118 icients can be determined by a least-squares curve-fitting procedure.

119 Curve-fitting procedures alone are not sufficient to gua

120 method for estimating n and Kd from standard curve-fitting procedures is established.

121 e-membrane interactions generally involves a curve fitting process with no information about what the

122 mixed inhibition rate equation with a global curve fitting program.

123 rbance versus temperature profiles using the curve-fitting program Meltwin.

124 (mechanistic approach) in the commonly-used curve-fitting program, GraphPad Prism.

125 cosinor analyses, a nonlinear least squares curve-fitting program, to determine circadian and ultrad

126 erogram without using a calibration plot and curve-fitting program.

127 aptability of commercially readily available curve-fitting programs such as Sigma Plot for routine us

128 The torus thickness determined from the curve-fitting protocol is in excellent agreement with th

129 method 1), Gaussian myocardial count profile curve fitting (QGS from Cedars-Sinai Medical Center) (me

130 These models were compared for time-activity curve fitting quality using the corrected Akaike informa

131 m infrared (2D-FT-IR) correlation along with curve-fitting routines.

132 nd integral values of the component bands by curve fitting, show statistically significant difference

133 In vivo, dictionary matching and curve fitting showed no statistically significant differ

134 ing of early metabolism time points improves curve fitting, significantly affects volume-of-distribut

135 to reach a near-saturated detection rate by curve fitting simulation.

136 rk "organisms" selected for performance of a curve-fitting task while subjected to noise.

137 PCA combined with linear curve fitting techniques greatly reduce the analysis tim

138 The third phase, data processing, involves curve-fitting techniques to integrate the source time-ac

139 e analyses were performed using computerized curve-fitting techniques.

140 The DBIF model achieved better time-activity curve fitting than the other 2 single-input models accor

141 regimes, we derived equations for nonlinear curve fitting that take into consideration both the chem

142 s internal reference were then determined by curve fitting the experimental data with equations deriv

143 ion rise of 15-20% to a new steady state; by curve fitting, the tension rise could be resolved into a

144 Nonlinear Bayesian regression permits curve fitting to a group of subjects simultaneously rath

145 e mature chromophore were analyzed by global curve fitting to a three-step mechanism describing preox

146 cation is shown by a sigmoidal dose-response curve fitting to analyze IL-6 protein.

147 le, which required an analysis that includes curve fitting to obtain accurate equilibrium constants a

148 The pH titration study and curve fitting to the data revealed a pK(a) of 6.0 for Gl

149 Curve fitting to the equation P=alphae(betaA) defined th

150 Direct curve fitting to the left ventricular pressure trace by

151 vibrations; these doublets were analyzed by curve-fitting to obtain the nuNO frequencies.

152 signaling is quantified and this is done by curve-fitting to the whole time course, avoiding the nee

153 was conducted with a nonlinear least squares curve fitting tool.

154 surement without operator input, contrary to curve fitting used in conventional electrochemical imped

155 mpared for the quality of lung time-activity curve fitting using the Akaike information criterion.

156 The least-squares curve fitting was then performed to match (1)I(Cal) and

157 Lognormal curve fitting was used to derive the areas under the fir

158 Finally, curve fitting was used to estimate the number of tags ne

159 The resulting data were plotted, and linear curve fitting was used to estimate the slope of the chan

160 acterized by a reduced curvature factor when curve fitting was used to model this diurnal response.

161 ed under steady-state conditions, and global curve fitting was utilized to extract kinetic constants.

162 Extended gamma-variate curve-fitting was performed, and regional perfusion, glo

163 nded X-ray absorption fine structure (EXAFS) curve fitting, we find there is minimal transformation i

164 Cox proportional hazards models with smooth curve fitting, we identified a U-shaped association: Thr

165 , through the use of computer simulation and curve-fitting, we are able to provide a comprehensive me

166 avoid failure to converge and non-monotonic curve fitting weaknesses of programs, such as CNVtools a

167 bands within an FTIR absorbance spectrum by curve fitting, which leads to a very compact and highly

168 The method uses curve fitting with a nonlinear least-squares optimizatio

169 n MDiMs using Gaussian kernels followed by a curve fitting with an adapted version of the particle sw

170 are thus analyzed by simultaneous non-linear curve fitting with the same rate constant values applyin

171 ation constant from the linear regression of curve-fitting with Langmuir isotherm equation may lead t