ライフサイエンスコーパス: nonlinear model

1 n to temporal contrast using a simple linear-nonlinear model.

2 xtinction, is highly predictable by a simple nonlinear model.

3 of Q10 values estimated from both linear and nonlinear models.

4 g such a code, we estimated 1D and 2D linear-nonlinear models.

5 ration methods for the purposes of comparing nonlinear models.

6 We find that linear-nonlinear models accurately predict navigational decisio

7 Overall, weighted parametric nonlinear models allowed us to compute Z score equations

8 This review describes evidence in support of nonlinear models and functional roles of TGF-beta signal

9 stantially lower than predicted by linear or nonlinear models and strictly observed for neurons with

10 veform can be represented efficiently with a nonlinear model based on a population spike code.

11 l identifiability of a very general class of nonlinear models by extending methods originally develop

12 The linear and nonlinear models corresponded to relative risks of 0.96

13 A nonlinear model did not fit the data better than a linea

14 st error structure arises naturally from the nonlinear model dynamics.

15 ction procedure is developed for determining nonlinear model explanatory variables when they are know

16 h location with time-varying distributed lag nonlinear models, expressed through an interaction betwe

17 istent with previous studies that describe a nonlinear model for the dose-response of EEG parameters

18 We describe a nested, nonlinear model for the sum of metal-free and metal-cata

19 significant inverse associations emerged in nonlinear models for fruits (Pnonlinearity<.001) and veg

20 c effects upon combining arbitrary (possibly nonlinear) models for mediator and outcome.

21 Using a nonlinear modeling framework applied to extracellular da

22 In a linear-nonlinear modeling framework, the spatiotemporal organiz

23 as a function of molecular size (volume), a nonlinear model had to be used, and a linearized biexpon

24 ilizer data generate underestimation bias in nonlinear models, high-resolution N application data are

25 ill enable extensive use of large linear and nonlinear models in systems biology and other applicatio

26 Unlike other methods, scTDA is a nonlinear, model-independent, unsupervised statistical f

27 Distributed-lag nonlinear modeling integrated in quasi-Poisson regressio

28 We used nonlinear modeling (locally weighted scatterplot smoothi

29 ng these coupling coefficients, we analyze a nonlinear model of positive feedback between ligand rele

30 A nonlinear model of serum 25(OH)D as a function of total

31 We combine our earlier nonlinear model of the energy-biomass balance in undrugg

32 Both linear and nonlinear modeling of balance data showed that a calcium

33 Nonlinear modelling of GSIS showed that response time wa

34 Nonlinear models of aging fit the data significantly bet

35 Both linear and nonlinear models of aging were tested.

36 acco use, including: (1) the need for novel, nonlinear models of population-based disease control; (2

37 Group linear and nonlinear models of the effect of disease duration on HA

38 mical (rate-constant based) and engineering (nonlinear) models of antibody expression to experimental

39 bruptly increase at a threshold temperature (nonlinear model) or increase steadily with temperature c

40 le exponential decay model using Generalized Nonlinear Model (package gnm) in R.

41 We overcome these problems by combining nonlinear model predictive control with a novel adaptive

42 exas, Florida, and the Eastern Seaboard; the nonlinear model predicts concentration in a geographic b

43 Moreover, nonlinear models provide better fit for structural-funct

44 d that coefficients of determination for our nonlinear models ranged from 0.393 to 0.582 in both data

45 Linear decomposition of this highly nonlinear model resulted in the identification of distin

46 Nonlinear models revealed that each modality exhibits un

47 The nonlinear modeling strategy is further divided into two

48 then reconcile, these inconsistencies with a nonlinear model that incorporates observed asymmetries i

49 nses of MT cells can be captured by a linear-nonlinear model that operates not on the visual stimulus

50 Here we report linear and nonlinear modelling that shows that dust-gas interaction

51 he peak is incompatible with both linear and nonlinear models that attribute the cycle to eccentricit

52 for building decoders, including structured, nonlinear models, the explicit incorporation of limb sta

53 systems produced linear models or required a nonlinear model to be provided manually.

54 Using linear-nonlinear modeling to remove the contribution of the sti

55 However, application of nonlinear models to individual patient courses (as oppos

56 Quasi-poisson regression and distributed lag nonlinear models up to 12 d were used, adjusting for dai

57 The nonlinear model uses three basic characteristics of the

58 tex V1 neurons into the elements of a linear-nonlinear model (via spike-triggered covariance analysis

59 buckling of the central joint, a mechanical nonlinear model was developed, introducing the concept o

60 ed effects of temperature, a distributed lag nonlinear model was used.

61 interpreted in terms of a single-compartment nonlinear model, we concluded that Rp is predominantly d

62 e, multimodal MRI, and using cross-validated nonlinear modeling, we demonstrate that developmental br

63 ing a time-series design and distributed lag nonlinear models, we estimated the relative risk (RR) of

64 atients aged newborn to 14 years, linear and nonlinear models were fit to estimate FBC from age.

65 The best predictors of soil respiration in nonlinear models were the Normalized Difference Vegetati

66 Finally, an instructive statistically nonlinear model with many degrees of freedom, mimicking

67 When estimated in a nonlinear model with the full sample, IQ declined by 7.4

68 In black adults, the association was nonlinear; models with cubic splines suggested evidence