ライフサイエンスコーパス: stochastic process

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

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

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

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

5 hromosomal distribution during amitosis is a stochastic process.

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

7 logical phenomena and presents a fascinating stochastic process.

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

9 of differential equations driven by a latent stochastic process.

10 trating that magainin disruption is a highly stochastic process.

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

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

13 tributed to the fluctuations inherent in any stochastic process.

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

15 are modeled as independent realizations of a stochastic process.

16 clear that release of neurotransmitters is a stochastic process.

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

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

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

20 city is to model the force of infection as a stochastic process.

21 n statistical stationarity of the underlying stochastic process.

22 Culturing recalcitrant bacteria is a stochastic process.

23 information between the past and future of a stochastic process.

24 fungi through the atmosphere is a relatively stochastic process.

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

26 under steady state conditions constitutes a stochastic process.

27 ukaryotic protein synthesis is an inherently stochastic process.

28 Transcription is a highly stochastic process.

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

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

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

32 ntal volatility described by continuous-time stochastic processes.

33 reasing separations synchrony is degraded by stochastic processes.

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

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

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

37 itive explanation by studying the underlying stochastic processes.

38 re uncertain and usually described as purely stochastic processes.

39 al development from destabilizing effects of stochastic processes.

40 generated by thermodynamically irreversible stochastic processes.

41 that include both deterministic chaotic and stochastic processes.

42 n whether these evolve independently through stochastic processes.

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

44 h a single variant becoming dominant, due to stochastic processes.

45 ity of voltage repolarization to subcellular stochastic processes.

46 numbers of CpGs has been assumed to reflect stochastic processes.

47 fact that hyper-dominance can emerge through stochastic processes.

48 nform on different aspects of the underlying stochastic processes.

49 ences and provide a natural tool to describe stochastic processes.

50 pulations more susceptible to the effects of stochastic processes.

51 mmunity assembly was primarily influenced by stochastic processes.

52 ocytes as a combination of deterministic and stochastic processes.

53 SBS homomers is significantly influenced by stochastic processes.

54 ction exerted by the plant host, rather than stochastic processes.

55 s diverge due to local microenvironments and stochastic processes.

56 y primarily through promoting or restraining stochastic processes.

57 and environmental variation and leaving only stochastic processes.

58 d because motion at the atomic scale follows stochastic processes.

59 Gene expression is an inherently stochastic process(1,2); however, organismal development

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

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

62 uggesting that growth is coupled to external stochastic processes-a universality found across dispara

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

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

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

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

67 rocesses (including host genetic effects) vs stochastic processes also varies over time and space.

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

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

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

71 from statistical mechanics, notably entropy, stochastic processes and critical phenomena, are having

72 ear to be driven by a complex combination of stochastic processes and deterministic abiotic factors.

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

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

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

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

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

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

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

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

81 onses have been attributed to cell-intrinsic stochastic processes and variable abundances of biochemi

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

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

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

85 amed decisions to accept or reject offers as stochastic processes approaching a decision boundary wit

86 Stochastic processes are highly relevant in research fie

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

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

89 Stochastic processes are thought to mediate localization

90 l community turnover was primarily driven by stochastic processes (as opposed to deterministic proces

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

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

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

94 in milk reflect both selective pressures and stochastic processes at the host level, exemplifying var

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

96 on of the probability density function for a stochastic process beyond fractional Brownian motion.

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

98 of the deterministic neural dynamics and the stochastic process can be investigated independently.

99 As such, a stochastic process can produce cellular behaviours that

100 Classical stochastic processes can be generated by quantum simulat

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

102 However, stochastic processes can overprint and shred evidence of

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

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

105 odels of network growth, we show that purely stochastic processes cannot explain the precise wiring p

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

107 through the analysis of language change as a stochastic process combining vertical descent, spatial i

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

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

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

111 ls to complete a round of cell division is a stochastic process controlled, in part, by intracellular

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

113 What sort of stochastic process could reproduce this highly consisten

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

115 n nest abundance at source rookeries than on stochastic processes derived from short term climatic va

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

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

118 tivity patterns, stressing the importance of stochastic processes determining neural networks connect

119 ependent and appears to be largely driven by stochastic processes (dispersal and drift), although det

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

121 dominated by deterministic processes, while stochastic processes dominated the assembly of specialis

122 Stochastic processes dominated the structuring of fungal

123 Microbial dynamics are modelled as stochastic processes driven by interaction modules, or g

124 sed upon null modeling results, we show that stochastic processes drove molecular properties while bi

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

126 Many such stochastic processes, especially those that are associat

127 -like receptors (KIR) in human NK cells is a stochastic process exclusive to subsets of mature NK cel

128 The time of a stochastic process first passing through a boundary is i

129 ad using a hybrid model of deterministic and stochastic processes, fitted to previously published HTL

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

131 ange of spatial statistical methods within a stochastic process framework, including analyses of poin

132 The average over stochastic processes generally results in decoherence ef

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

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

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

136 How stochastic processes give rise to the robust outcomes th

137 Stochastic processes govern the time evolution of a huge

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

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

140 ooted in dynamical systems and the theory of stochastic processes-have yielded insight into the dynam

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

142 rhizal species exert a stronger influence on stochastic processes, highlighting the importance of ran

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

144 the population to the detrimental effects of stochastic processes (i.e. low densities where random ba

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

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

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

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

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

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

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

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

153 king the relative importance of adaptive and stochastic processes in insular evolution difficult to a

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

155 erlooked, but potentially important, role of stochastic processes in stabilising population dynamics

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

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

158 Our results highlight the role of stochastic processes in the evolution of rare phenotypes

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

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

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

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

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

164 l-free single-molecule sensing technologies, stochastic processes influence the selection of transloc

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

166 reaction networks often arises from complex stochastic processes involving many species and reaction

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

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

169 The spatial stochastic process is incorporated under the Bayesian hi

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

171 Quantifying stochastic processes is essential to understand many nat

172 Although aging was once considered a stochastic process, it is now understood to be regulated

173 Deterministic and stochastic processes jointly determine the community dyn

174 The stochastic process known as the coalescent is a convenie

175 Stochastic processes-like dispersal limitation-contribut

176 Ultimately, these inherently stochastic processes manifest as noise in gene expressio

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

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

179 nd a modification of expanding or fixed-size stochastic process models expanded to a large number of

180 ion divergence, if any, may be restricted to stochastic processes occurring post-twinning during embr

181 Mathematical modeling of the stochastic process of cancer evolution can be used to de

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

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

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

185 roperties of sexual networks, we developed a stochastic process of dynamic partnership formation and

186 l state and intrinsic noise arising from the stochastic process of gene expression in the same cell s

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

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

189 d models the dynamics using a mean-reverting stochastic process of mixed Gaussians.

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

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

192 They undergo a stochastic process of polymerization and depolymerizatio

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

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

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

196 tative model where bacteria evolve under the stochastic processes of proliferation, death, mutation a

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

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

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

200 Stochastic processes on graphs can describe a great vari

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

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

203 d to toxicants has been attributed to either stochastic processes or individual tolerance (IT), leadi

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

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

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

207 ian motion (GBM) is widely used for modeling stochastic processes, particularly in finance.

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

209 g and particle-associated communities, where stochastic processes play a larger role.

210 Stochastic processes play an important role in the infec

211 mbly of abundant taxa and generalists, while stochastic processes played a greater role in rare taxa

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

213 Stochastic processes primarily governed the assembly of

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

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

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

217 counted (and often fundamentally unknowable) stochastic processes, rather than being driven by the de

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

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

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

221 simulated system states arising from complex stochastic processes shaped by multiple interacting para

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

223 A stochastic process' statistical complexity stands out as

224 theoretical context of the thermodynamics of stochastic processes (stochastic thermodynamics).

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

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

227 speciation and mutation-order speciation) or stochastic processes such as "system drift" model.

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

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

230 ility in clonal cell population is caused by stochastic processes such as random partitioning of cell

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

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

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

234 Stochastic processes, such as ecological drift, accounte

235 composition of a population changes through stochastic processes, such as genetic drift, in combinat

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

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

238 l bacterial communities among islands, while stochastic processes tended to be more important within

239 By contrast, stochastic processes tended to dominate soil fungal comm

240 In blood, IgG4 naturally engages in a stochastic process termed "Fab-arm exchange" in which un

241 nable Functions (PUFs); patterns formed by a stochastic process that can be used for authentication.

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

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

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

245 on chooses to express a single receptor in a stochastic process that includes substantial chromatin r

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

247 e with age in the human brain, in a somewhat stochastic process that may nonetheless be controlled by

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

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

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

251 ring binocular rivalry, and by extension the stochastic processes that drive our perception and other

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

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

254 s structural coherence and understanding the stochastic processes that influence formation.

255 rs how SOC cycling rates are governed by the stochastic processes that influence the proximity betwee

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

257 e surface gives insight into the dynamic and stochastic processes that occur at the electrode interfa

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

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

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

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

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

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

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

265 opment of adaptive dynamics and inclusion of stochastic processes, the replicator equation remains, h

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

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

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

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

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

271 s and in vivo reconstitution with theory for stochastic processes to show that the marquee features o

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

273 le thermodynamic computer, which we call the stochastic processing unit.

274 of printed English, treated as a stationary stochastic process, was estimated to be roughly 1 bit pe

275 As opposed to an indiscriminate stochastic process, we find pronounced demethylation of

276 presume antibodies are generated largely by stochastic processes, we demonstrate that polymorphisms

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

278 Overall, our results revealed that stochastic processes were of limited significance to exp

279 ata allowed us to reject the hypothesis that stochastic processes were responsible for community asse

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

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

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

283 rent PUF devices are often based on a single stochastic process, which can be broken, especially sinc

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

285 een the adjusted and un-adjusted states is a stochastic process, which the 2C DRM explicitly models t

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

287 re, we propose a new diffusion framework for stochastic processes, which models disease spread across

288 elatively more influenced by dispersal-based stochastic processes, while larger ones (fungi, protists

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

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

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

292 DNA replication is a stochastic process with replication forks emanating from

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

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

295 ncreasing importance of deterministic versus stochastic processes with scale, consistent with finding

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

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

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

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

300 A simple stochastic process, yet complex to model due to dynamica