ライフサイエンスコーパス: Gaussian distribution

1 m that models LD using a simple multivariate Gaussian distribution.

2 narrow size distribution and agree with the gaussian distribution.

3 cal analyses because the data did not follow Gaussian distribution.

4 ence procedures assume the data arise from a Gaussian distribution.

5 -tone sounds with frequencies sampled from a Gaussian distribution.

6 and ISI distributions that match the inverse Gaussian distribution.

7 ciations was consistent with a null-centered Gaussian distribution.

8 ecules in rigor were represented by a single Gaussian distribution.

9 nces (ILD) rapidly fluctuated according to a Gaussian distribution.

10 al limit theorems that give convergence to a Gaussian distribution.

11 hourly averages of B in the heliosheath is a Gaussian distribution.

12 and target zone center was well fitted by a Gaussian distribution.

13 s of the peptide layers was about 10 A for a Gaussian distribution.

14 is related to the symmetrical nature of the Gaussian distribution.

15 sholds for the individual T cells followed a Gaussian distribution.

16 e with the Debye-Waller theory including the Gaussian distribution.

17 ow that it also performs excellently for non-Gaussian distributions.

18 ior can be described in terms of independent Gaussian distributions.

19 method to address highly overlapping and non-Gaussian distributions.

20 t variation in blood-pool and liver SUVs had gaussian distributions.

21 uilibrium (denoted I(eqm)) are fitted by two Gaussian distributions.

22 n that was well modelled as a mixture of two Gaussian distributions.

23 current pulses with amplitudes drawn from a Gaussian distribution (10-100 pA standard deviation) to

24 The width of the Gaussian distribution, a measure of the diameter of the

25 Using a model of a Gaussian distribution about the average torsion angles t

26 ientation distribution function, including a Gaussian distribution and a formula based on the maximum

27 eter recovery from data generated from an ex-Gaussian distribution and from a Ratcliff Diffusion Mode

28 n angle distribution function deduced by the Gaussian distribution and the maximum entropy distributi

29 is then modeled as a mixture of multivariate gaussian distributions and fitted through a k-means algo

30 d in C code the Bayesian error estimator for Gaussian distributions and normal-inverse-Wishart priors

31 ciently separated to be independent, exhibit Gaussian distributions and provide mean-squared fluctuat

32 ive mixtures model statistical analysis, two Gaussian distributions appeared to comprise the total GC

33 They formed a Gaussian distribution around a mean between 34 and 35, a

34 e a robust yield of 90% and percentage obeys Gaussian distribution at various stages.

35 l gene expression data sets fit multivariate Gaussian distributions both before and after subjecting

36 symptoms and diagnosis were shown to have a Gaussian distribution, but were not useful predictors of

37 smium isotopic data form a wide, essentially gaussian distribution, demonstrating that, with respect

38 ally normal immediately after dilation, this gaussian distribution disappeared during the follow-up p

39 nated seeds, bacteria are distributed in non-Gaussian distributions, e.g., a lognormal distribution.

40 This method utilizes a grayscale Gaussian distribution effect to model inaccuracies inher

41 ImpG-Summary/LD), that assume a multivariate Gaussian distribution for the association summary statis

42 rithm is the use of an iteratively optimized Gaussian distribution for the selection of trial distanc

43 The DEER data were analyzed assuming Gaussian distributions for discrete populations of spins

44 The data are consistent with independent Gaussian distributions for each mode.

45 n bio-basis function neural network with two Gaussian distributions for model parameters (weights) pe

46 Assuming a Gaussian distribution function, a physisorbed stilbene d

47 terms of a superposition of two-dimensional Gaussian distribution functions in the Ramachandran spac

48 led as two different independent generalized Gaussian distribution functions, representing, respectiv

49 ereas interpretation of the same data with a Gaussian distribution gives a result that is systematica

50 In healthy children, CDR3 lengths displayed Gaussian distribution in both CD45RA and CD45RO subsets.

51 itude distribution that was well fitted by a Gaussian distribution in four out of five cases.

52 pression, there was rapid reestablishment of Gaussian distributions in CD45RA cells.

53 ons that were obtained fit quite well to the Gaussian distribution indicating no high- or low-mass di

54 Rather, the data suggested a Gaussian distribution indicative of stochastic protein d

55 ibing the location of each protein atom by a Gaussian distribution instead of a fixed position based

56 ribution are quite similar, showing that the Gaussian distribution is a good approximation for the an

57 analysis of the donor decay profiles using a Gaussian distribution model.

58 The intrinsic specificity obeys a Gaussian distribution near the mean and an exponential d

59 The standard deviation in the inferred Gaussian distribution of activation energies, computed f

60 site effects in the solid-state modeled by a Gaussian distribution of activation energies.

61 ons of a protein described as a multivariate Gaussian distribution of atomic displacements and compar

62 The normal 476-bp DNA fragment exhibited a Gaussian distribution of bend angles centered at 0 degre

63 h can be described using a model involving a Gaussian distribution of distances with an average dista

64 ton delocalization and can be described by a Gaussian distribution of energies with a width sigma=0.1

65 Using these criteria, a Gaussian distribution of fluorescence lifetimes satisfac

66 bilayer surfaces are uncorrelated, yielding Gaussian distribution of instantaneous widths of the mem

67 iscrete lifetime at 15.0 ns (free COP) and a Gaussian distribution of lifetimes centered at 2.8 ns (r

68 All three molecules display a Gaussian distribution of lifetimes, consistent with an e

69 Here we describe the non-Gaussian distribution of measured distances that is the

70 ed by most random walk models that predict a Gaussian distribution of membrane potential.

71 aller than the focused laser beam leads to a Gaussian distribution of single molecule fluorescence in

72 Assuming a Gaussian distribution of the 15N CSA values, the mean an

73 We therefore assume a Gaussian distribution of the thresholds, which is simple

74 stances in the embryo, and departures from a Gaussian distribution of these fluctuations.

75 The non-Gaussian distribution of this data affects identificatio

76 imes, which is responsible for the canonical Gaussian distribution of timing behavior.

77 all the DNA in a step-wise fashion to give a Gaussian distribution of topoisomers, demonstrating a sw

78 lyclonal T cell repertoire demonstrated by a Gaussian distribution of V beta-specific peaks.

79 Highly symmetric non-Gaussian distributions of CF support zero-sum dynamics.

80 ion intensity-dependent method to check for Gaussian distributions of ion series and an ion intensit

81 The previously reported modal or Gaussian distributions of sparks detected by eye must th

82 nalog models to the discrete and continuous (Gaussian) distributions of a single proton binding-disso

83 was processed using a He(2+) ion-beam with a Gaussian distribution or by exposure to ultraviolet/O3,

84 were often best fit with several single non-Gaussian distributions or mixtures of Gaussian distribut

85 n at all observed timescales rather than the Gaussian distribution predicted by the central limit the

86 le non-Gaussian distributions or mixtures of Gaussian distributions, rather than the more frequently

87 This mixing reduces the width of the gaussian distribution several times in comparison to the

88 T, background signals are modeled by a local Gaussian distribution that is accurately estimated from

89 otational free energy barriers follow skewed-Gaussian distributions that are not altered significantl

90 The intensity encoding scheme utilizes the Gaussian distributions that characterize the relationshi

91 s describing the two independent generalized Gaussian distributions that underlie the WBQ chromatogra

92 The width of the Gaussian distribution, the variability of a spatial rest

93 Assuming the varphi angles follow a Gaussian distribution, the width of this distribution ca

94 Unlike the gaussian distribution, this model provided a good repres

95 alculated for each scan by fitting a bimodal gaussian distribution to the voxel-intensity histogram w

96 lations were refined in terms of anisotropic Gaussian distributions via least-squares minimization of

97 n function such as a delta-distribution or a Gaussian distribution was not adequate to describe the m

98 Inverse gaussian distributions were fitted to observed annual ra

99 th, the centroid distribution converges to a Gaussian distribution whose mean and variance are determ

100 t in data that can be well-approximated by a Gaussian distribution whose mean and variance are determ

101 source of the mass spectrometer and follow a Gaussian distribution with a full width at half-maximum

102 ed from immature rats was best fitted with a Gaussian distribution with a mean of 6.95.

103 ('group 2', approximately 40%), R(c/p) had a Gaussian distribution with a mean value of 0.625.

104 alues for the cranium were randomized with a Gaussian distribution with either coefficients of variat

105 opic ML Procrustes problem assuming a matrix Gaussian distribution with factored covariances.

106 e these assumptions since they come from non-Gaussian distributions with a non-trivial mean-variance

107 ipal orientations drawn from two categories: Gaussian distributions with different means and equal va

108 ure rats was best fitted with the sum of two Gaussian distributions with means of 6.68 and 7.32.