ライフサイエンスコーパス: stochastic process

1 ting in determining the number of steps in a stochastic process.

2 of differential equations driven by a latent stochastic process.

3 trating that magainin disruption is a highly stochastic process.

4 a small number of copies selected through a stochastic process.

5 abling us to model RBC alloimmunization as a stochastic process.

6 tributed to the fluctuations inherent in any stochastic process.

7 er, it appears that assembly is not simply a stochastic process.

8 are modeled as independent realizations of a stochastic process.

9 clear that release of neurotransmitters is a stochastic process.

10 ycosylated ferritin is a regulated and not a stochastic process.

11 under steady state conditions constitutes a stochastic process.

12 alysis indicates that T cell activation is a stochastic process.

13 ver a 2-year period, suggesting that it is a stochastic process.

14 Transcription is a highly stochastic process.

15 appear random, suggesting they arise from a stochastic process.

16 ith the prevailing view of pore-filling as a stochastic process.

17 slow and inefficient and is thought to be a stochastic process.

18 he occurrence of the avalanches is a largely stochastic process.

19 line nucleus and mating type is decided by a stochastic process.

20 y number does not change as expected under a stochastic process.

21 hromosomal distribution during amitosis is a stochastic process.

22 e show that the magnetisation switching is a stochastic process.

23 ea that R5 or X4/DM infections result from a stochastic process.

24 logical phenomena and presents a fascinating stochastic process.

25 hat gene regulation is an essentially noisy (stochastic) process.

26 itive explanation by studying the underlying stochastic processes.

27 re uncertain and usually described as purely stochastic processes.

28 al development from destabilizing effects of stochastic processes.

29 generated by thermodynamically irreversible stochastic processes.

30 that include both deterministic chaotic and stochastic processes.

31 n whether these evolve independently through stochastic processes.

32 " (TFT) strategist population by considering stochastic processes.

33 s diverge due to local microenvironments and stochastic processes.

34 y primarily through promoting or restraining stochastic processes.

35 and environmental variation and leaving only stochastic processes.

36 reasing separations synchrony is degraded by stochastic processes.

37 logical features as a result of adaptive and stochastic processes.

38 shape of the realised values of the coloured stochastic processes.

39 ic/proteomic- and microenvironment-dependent stochastic processes.

40 s using the law of total variance for doubly stochastic processes: (1) variance of counts that would

41 We derive from stochastic processes a different model that assumes simu

42 ecule analysis of replication suggested that stochastic processes acting on origins with different pr

43 nge for species whose dynamics are driven by stochastic processes.Adelie penguins are a key Antarctic

44 ated the relative roles of deterministic and stochastic processes along a disturbance gradient by int

45 smoothed out behaviour, like one-dimensional stochastic processes along the protein chain.

46 tion, of the new phase is typically a highly stochastic process and does not allow for the spatiotemp

47 igorous mathematical characterization of the stochastic process and identify the basic mathematical m

48 Here a class of coarse-grained stochastic processes and corresponding Monte Carlo simul

49 y review relevant results from the theory of stochastic processes and discuss the monitoring of conve

50 communities, highlighting the importance of stochastic processes and disturbance events in structuri

51 A new study reveals the underlying stochastic processes and explains why these are advantag

52 Here, we extend the framework to stochastic processes and finite populations.

53 imal interactions, it is predicted that both stochastic processes and functional plant traits that fa

54 f reproductive barriers, including mutation, stochastic processes and natural selection.

55 By combining methods from stochastic processes and phylogenetics, this work provid

56 which approximate the statistical moments of stochastic processes and tend to be more precise than ma

57 Gene transcription is a stochastic process, and is often activated by multiple s

58 Here we model weight changes as a stochastic process, and show that it behaves approximate

59 mean reverting process is used to model the stochastic process, and stochastic maximum principle is

60 en question, although both deterministic and stochastic processes are likely to be important.

61 Conservation efforts that combat only stochastic processes are therefore unlikely to avert ext

62 Stochastic processes are thought to mediate localization

63 mary tumors acquire genetic alterations in a stochastic process at a late stage, which make them inva

64 g to and between antigenic target sites as a stochastic process at the sub-organ level and argue agai

65 e analysis and design of experiments probing stochastic processes at the cellular level.

66 s filopodium-ECM interaction is modeled as a stochastic process based on binding kinetics between int

67 r more dimensions provides information about stochastic processes beyond the MSD.

68 Classical stochastic processes can be generated by quantum simulat

69 Here, we show that the inclusion of stochastic processes can lead to the stable recovery of

70 mplex set of spatiotemporal interactions and stochastic processes can result in life-threatening anom

71 ies can be controlled to a large extent, but stochastic processes cannot by definition.

72 Here we introduce a stochastic process capturing local mobility decisions th

73 nger periods, walking is well described by a stochastic process composed of these elementary features

74 te Carlo algorithm for the simulation of the stochastic processes considered here.

75 analysis reveals that both deterministic and stochastic processes contribute to the assembly of compl

76 ue to lack of knowledge about the underlying stochastic processes controlling critical transitions, i

77 What sort of stochastic process could reproduce this highly consisten

78 ly of short dynamin scaffolds and involved a stochastic process dependent on the curvature stress imp

79 We thus sample trajectories of the stochastic process described by the chemical master equa

80 Thus, it is likely that host factors or stochastic processes determine the specific viral varian

81 observed emission patterns, indicating that stochastic processes dominate the occurrence of high emi

82 Either stochastic processes (e.g., drift and absence of selecti

83 Many such stochastic processes, especially those that are associat

84 We give a stochastic process for which the terms of the Riemann ze

85 A stochastic process generates the runs and tumbles, and i

86 ite variances, we investigate the underlying stochastic process generating these events.

87 we show that clans are unlikely products of stochastic processes (genetic or cultural drift) but lik

88 tudies implicitly assume that the underlying stochastic process has stationary increments.

89 s the role of realistic delay times in these stochastic processes has received little attention.

90 so suddenly we had to learn how to deal with stochastic processes." Here I describe theoretical effor

91 jority of RAMA elements is consistent with a stochastic process; however, up to 30% of RAMA elements

92 epresentation of reinforcement learning as a stochastic process in finite 'populations of ideas'.

93 epigenetic event is generally accepted as a stochastic process in tumor cells resulting from aberran

94 require spatial integration but is instead a stochastic process in which each receptor binding event

95 the model for branch migration as a stepwise stochastic process in which the branch migration hop is

96 oteins fold to their native states through a stochastic process in which the free energy decreases sp

97 A useful means of characterizing these stochastic processes in a model-independent way is by au

98 s, provoking new questions about the role of stochastic processes in DNA repair and mutagenesis.

99 s have greatly enhanced our understanding of stochastic processes in gene expression by utilizing new

100 be tested against alternatives that include stochastic processes in low-diversity lineages-which is

101 e relative contribution of deterministic and stochastic processes in the assembly of biotic communiti

102 explore the involvement of these dynamic and stochastic processes in the evolution of fluctuating tra

103 -sensor interactions on the nanoscale and of stochastic processes in the sensing environment.

104 spatial learning and stress, in addition to stochastic processes, in the generation of subtle change

105 This class of stochastic processes includes both an incremental and a

106 uantitative information about the underlying stochastic process, including its anomalous scaling expo

107 up to 10 days, after which the importance of stochastic processes increased.

108 e consider transmission of infection to be a stochastic process involving discrete individuals.

109 The number of states in the underlying stochastic process is an exponential function of populat

110 sub-diffusion model for which the associated stochastic process is characterised by strong memory eff

111 The spatial stochastic process is incorporated under the Bayesian hi

112 this work, sensitivity analysis for discrete stochastic processes is developed based on density funct

113 Quantifying stochastic processes is essential to understand many nat

114 Deterministic and stochastic processes jointly determine the community dyn

115 The stochastic process known as the coalescent is a convenie

116 y, our data show that both deterministic and stochastic processes may play a role in the assembly of

117 The Stochastic Process Model (SPM) represents a general fram

118 ntical TCR sequence, supporting a model of a stochastic process of cell fate determination coupled wi

119 tanding the limitations of working memory: a stochastic process of degradation that plays out indepen

120 A rapid and stochastic process of differential gene expression is re

121 Because aging reflects a stochastic process of increasing disorder, cells in an o

122 are the results of the law of mass action-a stochastic process of innumerable binding and unbinding

123 Thus, despite the stochastic process of mutation that leads to a continuou

124 ns are obtained from a simple, intrinsically stochastic process of nucleosome assembly, disassembly,

125 They undergo a stochastic process of polymerization and depolymerizatio

126 on of contact rigidity is accounted for by a stochastic process of state estimation underlying propri

127 in which the sequence modulates the overall stochastic process of the junction dynamics and branch m

128 The model keeps track of the stochastic process of viral mutation, and the determinis

129 trations, in which bacteria evolve under the stochastic processes of proliferation, migration, mutati

130 ), and the relative impact of genetic versus stochastic processes on CTL targeting of HIV and immune-

131 ective population size increases the role of stochastic processes on dynamics of plant virus populati

132 e simulations substantiate the importance of stochastic processes on induction of gene expression in

133 rine observations as coming from essentially stochastic processes or from dominant nonlinear mechanis

134 at transition from dormancy to activity is a stochastic process originating in noise-driven bistabili

135 t changes usually occurred through mediating stochastic processes over 5 years, challenging the tradi

136 Cell differentiation often appears to be a stochastic process particularly in the hemopoietic syste

137 des it has been increasingly recognized that stochastic processes play a central role in transcriptio

138 Stochastic processes play an important role in the infec

139 ous, suggesting that platelet secretion is a stochastic process potentially controlled by several fac

140 by assuming that (a) conception initiates a stochastic process producing a train of replications of

141 clude clades of two kinds: those produced by stochastic processes (random genetic drift) within a spe

142 ntact with antigen-presenting cells may be a stochastic process rather than one guided by chemokine g

143 There is increasing recognition that stochastic processes regulate highly predictable pattern

144 ating that intermolecular cross-linking is a stochastic process resulting from random collisions and

145 othesis that HPV integration in cancers is a stochastic process resulting in clonal selection of aggr

146 treatment communities is primarily caused by stochastic processes, so the stochastic change was estim

147 A stochastic process' statistical complexity stands out as

148 results indicate that both deterministic and stochastic processes structure soil fungal communities f

149 nce function on the two-dimensional space of stochastic processes subordinate to gamma distributions-

150 nd/or selection-independent constraints, not stochastic processes such as drift in unconstrained phen

151 y particular mutant subject to selection and stochastic processes such as genetic drift and populatio

152 ways on various properties of the underlying stochastic process, such as the spatial organization of

153 promises to elucidate community behavior and stochastic processes, such as antibiotic resistance acqu

154 and 'species fitness difference'-independent stochastic processes, such as birth/death and dispersal/

155 Ca oxalate precipitation is not a stochastic process, suggesting the involvement of specif

156 ation networks may be the result of a simple stochastic process taking place on an inhomogeneous land

157 e introduce a spatially explicit, asymmetric stochastic process that captures the essential architect

158 the DRT/DMC phenotype is not the result of a stochastic process that could occur at any translocation

159 Our analyses are consistent with a stochastic process that governs domain recombination and

160 from this work is that tRNA maturation is a stochastic process that lacks a defined order and that c

161 We introduce a joint stochastic process that models these cross-correlations.

162 Additionally, binding is a stochastic process that results in a continuum of bindin

163 Fusion is a stochastic process that, once initiated, must be rapid,

164 However, the stochastic processes that generate repertoires in each i

165 e points can be viewed as being generated by stochastic processes that in the simplest cases are Gaus

166 o environmental cues or exposures as well as stochastic processes that lead to heterogeneity and pote

167 le Space Reducing (SSR) processes are simple stochastic processes that offer a new route to understan

168 This result has been derived for particular stochastic processes that operate either in the limit of

169 Noise is a result of stochastic processes that originate from quantum or clas

170 icate porous scaffolds, most of them rely on stochastic processes that typically result in scaffolds

171 In this work, we present a stochastic process, the Poisson Indel Process (PIP), in

172 d have demonstrated that rather than being a stochastic process, the selection of new spacers is infl

173 Since gene expression is an inherently stochastic process, the simulation component of simulate

174 When forcing is treated as a stochastic process, this can be addressed with first ret

175 est that antigen detection may result from a stochastic process through which a random walk facilitat

176 We assume the stochastic process to be a two-state continuous time jum

177 e genetic models of social interactions with stochastic processes to model the random, nonlinear, and

178 ain objectives of modeling efforts using (i) stochastic processes to quantitatively reproduce these f

179 Electropermeabilization is a stochastic process: two cells which appear identical may

180 of distinguishing periodic oscillations from stochastic processes.We suggest that dorsal-ventral tuni

181 these transcription factors is a continuous stochastic process where almost all mouse donor cells ev

182 acteria at high pressures is an irreversible stochastic process, whereas the switching probability to

183 cally assumed to be produced by a stationary stochastic process which has infinite memory.

184 Self-restriction is a stochastic process, which temporarily induces the SOS re

185 le gut diversity may be driven by inherently stochastic processes, which has important implications f

186 of each individual allele is regulated by a stochastic process whose probability can be augmented by

187 ics can be approximated by a low-dimensional stochastic process with a linear Kolmogorov forward equa

188 ividual synaptic vesicles are retrieved by a stochastic process with an exponential distribution of d

189 institution must be modeled and treated as a stochastic process with unknown parameters to be estimat

190 ical models involve networks of coupled jump stochastic processes with a large number of parameters t

191 Gene expression is a fundamentally stochastic process, with randomness in transcription and

192 e of the combinatorial system terms of three stochastic process, with the system reaching essentially

193 at Jupiter than that caused by broadband or stochastic processes, with broadband and stochastic char

194 can explore the reaction interfaces through stochastic processes within the time scale indicated by