ライフサイエンスコーパス: curve fitting

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

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

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

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

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

6 ncluding data normalization, statistics, and curve fitting.

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

8 duce the analysis time relative to nonlinear curve fitting.

9 invariant in expression, prior to nonlinear curve fitting.

10 etermined using a bivalent analyte model for curve fitting.

11 rimental profiles by nonlinear least-squares curve fitting.

12 tion to observed incidence than did logistic curve fitting.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

27 Curve-fitting analysis of the broad luminescence excitat

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

70 Nonlinear curve fitting of metal titration curves using the multip

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

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

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

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

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

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

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

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

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

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

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

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

83 Curve fitting permits false discovery rate-based classif

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

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

86 Curve-fitting procedures alone are not sufficient to gua

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

112 Direct curve fitting to the left ventricular pressure trace by

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

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

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

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

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

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

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

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

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

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

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

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

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

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