ライフサイエンスコーパス: dynamical model

1 menon by using field-derived parameters in a dynamical model.

2 s as well as in silico data from a nonlinear dynamical model.

3 described by a biphasic temporal filter and dynamical model.

4 but also their biological implications with dynamical models.

5 NAO that exhibits higher skill than current dynamical models.

6 rived correlation functions based on several dynamical models.

7 obviates the need for parameterizing complex dynamical models.

8 provides direction for future structural and dynamical models.

9 ference on the hidden states of hierarchical dynamical models.

10 of magnitude in stellar mass, using detailed dynamical models.

11 ar system, contrary to predictions of recent dynamical models.

12 based quantum mechanics-molecular mechanics dynamical modeling.

13 r falsify the predictions of nanometer-scale dynamical modeling.

14 gorithm, Fourier analysis, and kinematic and dynamical modeling.

15 otochemical reactions, which instead require dynamical modeling.

16 Based on this dynamical model and additional data, such as known TF bi

17 alists learn the language of mathematics and dynamical modeling and theorists learn the language of b

18 The combination of dynamical models and experiments has helped us unravel t

19 The recent low skills of the dynamical models are attributed to deficiencies in captu

20 et plaque morphology in the context of a new dynamical model based on competing aggregation and disag

21 Here, we used a dynamical model based on empirical energy budget data to

22 In this study, we use dynamical-model based Bayesian inference to investigate

23 t example, we show that the obtained reduced dynamical model can reproduce the full statistics of spa

24 Dynamical models can produce inner Solar System configur

25 The observations can be described by a dynamical model characterized by a single novelty factor

26 xperiments with a six-dimensional conceptual dynamical model confirm that these models capture key st

27 Here, we present a novel dynamical model consisting of two coupled populations of

28 tational framework that uses continuous-time dynamical models coupled with Bayesian dimensionality ad

29 We study a general dynamical model describing coevolution of two haploid po

30 Critically, only dynamical models displayed tensor structure that agreed

31 rred the first systems-biology comprehensive dynamical model explaining patterning in planarian regen

32 iction of the TS activities that the current dynamical models fail.

33 of the methodology: (i) to obtain a reduced dynamical model for a polypeptide dynamics in water and

34 sted integral control, we arrive at a simple dynamical model for calcium homeostasis.

35 Here, we present a minimal dynamical model for the MJO that recovers robustly its f

36 gical significance of this trend, we drive a dynamical model for the population dynamics of the mosqu

37 Conceptual dynamical models for anisotropic turbulence are introduc

38 Evolutionary dynamical models for cyclic competitions of three specie

39 sual DNA structures, and their use to obtain dynamical models for this class of systems needs to be i

40 orthern France and also suggest that current dynamical model forecast systems have large potential fo

41 For influenza forecasts generated using dynamical models, forecast inaccuracy is partly attribut

42 However, seasonal dynamical model forecasts for European summers have very

43 ear state-space models, also known as linear dynamical models, have been applied to model genetic net

44 Most dynamical models, however, have limited skill in seasona

45 Using a Lotka-Volterra type population dynamical model, I then show that in such communities, i

46 orecast accuracy of other infectious disease dynamical models.Inaccuracy of influenza forecasts based

47 We used this tool to build a number of dynamical models, including a 130-protein large-scale mo

48 gorous maximum likelihood inference based on dynamical models incorporating multiple sources and outc

49 Dynamical modelling indicates that transmission risk wil

50 The dynamical models introduced here potentially provide a u

51 Furthermore, a dynamical model involving temperature is given for depic

52 The dynamical model is embedded into a Bayesian framework an

53 A dynamical model is presented as a framework for muscle a

54 Here, a simple dynamical model is used to approximate walking with a co

55 s.Inaccuracy of influenza forecasts based on dynamical models is partly due to nonlinear error growth

56 An important prediction of neural dynamical models is that previously observed neural acti

57 findings highlight the immense potential of dynamical models, mathematics, and data-guided methodolo

58 alling maneuvers with a 52-degree-of-freedom dynamical model of a bat to show that modulation of wing

59 ehavioral models, which either incorporate a dynamical model of attentional focus, in the form of a h

60 nce and diminishing-returns epistasis into a dynamical model of changes in mean fitness over time.

61 quences in a chunking representation using a dynamical model of competing modes arranged to evoke hie

62 Here, we develop and analyze a dynamical model of CRISPR-mediated prokaryote-phage coev

63 e the parameter estimates thus obtained in a dynamical model of disease spread to show that extended

64 We show that the Peyrard-Bishop nonlinear dynamical model of DNA, which has been used to simulate

65 we present a new comprehensive, multi-scale dynamical model of ErbB receptor signal transduction in

66 We present a simplified dynamical model of immune response to uncomplicated infl

67 The resulting dynamical model of independent replacements drawn from h

68 an modeling approach, combined with a simple dynamical model of influenza transmission, to estimate t

69 A spatial dynamical model of malaria transmission in the Lake Kari

70 uitry in superior colliculus, we construct a dynamical model of neural activation that is modulated b

71 ty on incidence was also investigated with a dynamical model of poliovirus transmission to observe pr

72 We present a dynamical model of primate visual areas V1, MT, and MSTd

73 function and use by developing a first-order dynamical model of stroke recovery with longitudinal dat

74 sites of plasticity are incorporated into a dynamical model of the cerebellar cortex and its interac

75 A dynamical model of the double-peaked emission lines cons

76 We developed a large-scale dynamical model of the macaque neocortex, which is based

77 In this article, we formulate a dynamical model of the olfactory transduction pathway, w

78 , model-based methods focus on identifying a dynamical model of the system.

79 with parameters obtained from recent quantum dynamical modeling of experimental data assuming an expl

80 Dynamical modeling of gene regulation via network models

81 s were found to decline with the radius, and dynamical modeling of the data indicates the presence of

82 Dynamical modelling of these data reveals the presence o

83 Dynamical modelling of within-household incidence showed

84 ical steps in this approach are to construct dynamical models of biochemical reaction networks for la

85 rds the larger goal of developing predictive dynamical models of cellular behaviour.

86 s the demand for tools to analyse stochastic dynamical models of chemical reactions.

87 th the help of game dynamics, which includes dynamical models of evolution and individual learning.

88 Dynamical models of gene regulatory networks (GRNs) are

89 Studies were included if they used dynamical models of heterosexual HIV transmission, incor

90 that combining host behavioural traits with dynamical models of infectious disease scaled against ho

91 We show that for dynamical models of realistically structured ecological

92 this prediction, we built and characterized dynamical models of single-trial motor cortical activity

93 Quantitative and dynamical models of systems behaviors will supersede the

94 Dynamical models of the interaction between the planet a

95 b-based platform used to create and simulate dynamical models of various biological processes.

96 linear regression model derived solely from dynamical model output can skillfully predict observed a

97 Our dynamical model predicts that, even when present in low

98 ophage development, we defined a qualitative dynamical model recapitulating cytokine-induced differen

99 Our dynamical model reproduces the spike time-dependent plas

100 Dynamical modeling revealed interlocking positive feedba

101 lex dynamics, empirically grounded nonlinear dynamical models should play a larger role in policy for

102 In order to analyse large complex stochastic dynamical models such as those studied in systems biolog

103 s behavior was reproduced in a multicellular dynamical model suggesting critical behavior in the isle

104 ciated with lymphomagenesis, requires robust dynamical modeling techniques.

105 the ATP hydrolysis kinetics, we construct a dynamical model that accounts for the stepwise processiv

106 approximate Bayesian computation to obtain a dynamical model that accurately predicts tissue patterni

107 This paper described a nonlinear dynamical model that allows for continuous changes in co

108 We propose a dynamical model that reproduces this observation along w

109 We propose a simple quasilinear dynamical model that reproduces well the oscillation cha

110 We formalize this hypothesis with a dynamical model that reveals a strong analogy between be

111 Dynamical models that assume that comets are not destroy

112 among multiple regulators we could generate dynamical models that quantitatively account for the obs

113 We developed a dynamical model to study the effects of phosphodiesteras

114 n tuberculosis from 1980 to to 2013 to fit a dynamical model to time trends in HIV prevalence, antire

115 - and low-transmission settings we applied a dynamical model to two unique adjacent cohorts of mesoen

116 onment facilitates the application of hybrid dynamical modeling to the reverse engineering of complex

117 ytes and used quantitative features to build dynamical models to investigate how regulation of actin

118 st of the United States to that predicted by dynamical models undergoing different dispersal and envi

119 Dynamical modeling uniquely detects an outer nontransiti

120 The frequency correlation established the dynamical model used in the analysis, and it indicated t

121 Using a dynamical model, we predict gene expression patterns for

122 he formulation and analysis of a multi-scale dynamical model, we show that the establishment of stabl

123 sed empirical model and the state-of-the-art dynamical models, we demonstrate that the WPSH is highly

124 rived from removal of nodes from the Boolean dynamical model were validated with experimental single

125 We propose a population dynamical model where immunity can be both acquired and

126 esults are specific features of a particular dynamical model, whereas others turn out to be quite rob

127 used to combine high-dimensional, nonlinear dynamical models with observed data.

128 This paper develops a set of simplified dynamical models with which to explore the conditions un