ライフサイエンスコーパス: stochasticity

1 roductivity, density dependence, and typical stochasticity).

2 diated by evolutionary games and demographic stochasticity.

3 ermal perturbations to significantly enhance stochasticity.

4 dispersal overcomes the inherent biological stochasticity.

5 reduction in wave-speed caused by intrinsic stochasticity.

6 ating the potentially detrimental effects of stochasticity.

7 ncertainty or parametrisation, or simulation stochasticity.

8 enon is observed in a model with demographic stochasticity.

9 ects of sex-biased dispersal and demographic stochasticity.

10 Biological systems are subject to inherent stochasticity.

11 actises by exploiting the natural sources of stochasticity.

12 s are robust to the inclusion of demographic stochasticity.

13 is integrating the effects of diffusion and stochasticity.

14 mically limit the effects of gene expression stochasticity.

15 analyzed using models that ignore intrinsic stochasticity.

16 expected because of persistent environmental stochasticity.

17 us, neutral and beneficial mutations to this stochasticity.

18 two models to demonstrate genuine effects of stochasticity.

19 he combination of factors that contribute to stochasticity.

20 trum can describe and explain the impacts of stochasticity.

21 at captures the average effect of the payoff stochasticity.

22 es into contributions from UH and individual stochasticity.

23 educe variance in vital rates in response to stochasticity.

24 developmental processes and transcriptional stochasticity.

25 include components with disparate levels of stochasticity.

26 ckground noise, and thereby increased choice stochasticity.

27 edging strategy in response to environmental stochasticity.

28 te reliably in the presence of this inherent stochasticity?

29 The SPT says that demographic stochasticity acting through variation in (i) individual

30 Stochasticity affects the short- and long-term steps.

31 Our results show that stochasticity alone can generate a significant degree of

32 Thus, stochasticity alone may have protected early bacteria fr

33 prevalence patterns arises due to intrinsic stochasticity alone, i.e., if all starting conditions in

34 invasions cannot be explained by demographic stochasticity alone, which indicates inherent limitation

35 Surprisingly, inherent stochasticity also increases the robustness of the proge

36 Stochasticity alters the nonlinear dynamics of inherentl

37 The results demonstrated that demographic stochasticity among enteric E. coli in the occurrence of

38 mosome but also suggest that transcriptional stochasticity among human cells could be useful for pred

39 tation to different environments, as well as stochasticity among populations evolved in the same envi

40 the effects of environmental and demographic stochasticities and density-dependence, the probability

41 rate of reduction is related to environment stochasticity and a novel index is derived to reflect th

42 ence genes to these inputs shows evidence of stochasticity and bistability and has been difficult to

43 tudies that elucidate the important roles of stochasticity and cell-cell variability in response to e

44 led nonlinear oscillators in the presence of stochasticity and demonstrate its ability to synchronize

45 , complex models that included environmental stochasticity and density dependence were used to simula

46 tainty, environmental variation, demographic stochasticity and evolution), level of ecological organi

47 h allow us to disentangle the interaction of stochasticity and external forcing.

48 nd substantial environmental and demographic stochasticity and hence dynamic age-structure.

49 ity from cell cycle, cell-cell contact, cell stochasticity and heritable morphological variations.

50 ever, the bulk of these studies have ignored stochasticity and heterogeneous contact structures.

51 t are difficult to accurately measure due to stochasticity and incomplete observation.

52 n are poorly understood because the inherent stochasticity and low probability of spontaneous fusion

53 d uncertainty stemming from a pandemonium of stochasticity and missing information.

54 The role of stochasticity and noise in controlling genetic circuits

55 onal consequence of the interactions between stochasticity and nonlinearity.

56 us and extended to incorporate environmental stochasticity and parasite behaviour, was used to simula

57 advances, we argue that most gene expression stochasticity and pathway interconnectivity is nonfuncti

58 hat moderate N addition increased ecological stochasticity and phylogenetic diversity.

59 F4G imposes increased global gene expression stochasticity and reduced viability because the intrinsi

60 bacteria have explored the contributions of stochasticity and regulation to bacterial phenotypic het

61 Stochasticity and seasonality can modulate or create cyc

62 Demographic stochasticity and the constraints imposed by a finite la

63 hanisms determining the relationship between stochasticity and the functional role of translation mac

64 rally poor correlation between protein-level stochasticity and transcriptional bursting.

65 nt periodic phenomena induced or modified by stochasticity and were experimentally confirmed.

66 nd how adult survival rates are regulated by stochasticity and/or population density.

67 tissue dynamics emerge from heterogeneities, stochasticities, and asynchronies in cell behavior is an

68 gical norms, allostasis and allostatic load, stochasticity, and decline in stress resistance and adap

69 l-to-noise ratio, and the analysis of noise, stochasticity, and precision.

70 sults due to experimental noise, algorithmic stochasticity, and the influence of arbitrarily chosen p

71 election (3-11%) interacted with demographic stochasticity, and the overall conclusion was that multi

72 on can exacerbate the effects of demographic stochasticity, and this further destabilises coexistence

73 cromolecular concentration, poly-dispersity, stochasticity, and weak nonspecific interactions.

74 l model, we find that demographic sources of stochasticity are the prominent cause of variability in

75 to hypothesize that origin inefficiency and stochasticity are the result of a diffusible, rate-limit

76 Where may stochasticity arise in the system and how do we make pro

77 This stochasticity arises from the advection of pelagic larva

78 dividual molecular event is significant, and stochasticity arises from the propagation of biochemical

79 This variability is usually treated as stochasticity arising within neurons or neural circuits.

80 To overcome this stochasticity at the macroscopic level, cells must synch

81 ive strategies and small costs, we find that stochasticity benefits cooperation, because it allows fo

82 ed if the inherent increased competition and stochasticity between two immune responses during a simu

83 nity composition to be initially governed by stochasticity, but as succession proceeded, there was a

84 ld occur when we take account of demographic stochasticity, but found that the durability does depend

85 because of an increased risk of demographic stochasticity, but lower extinction probability in large

86 We directly measure technical stochasticity by a pool/split design and find that there

87 models to show that intrinsic (demographic) stochasticity can alter deterministic predictions dramat

88 ory one strategies and large costs, however, stochasticity can augment cooperation.

89 Stochasticity can be divided into four categories, which

90 We propose that posttranscriptional stochasticity can be linked to cycles of folding/unfoldi

91 Transcriptional stochasticity can be measured by counting the number of

92 On the other hand, this natural stochasticity can be valuable for hardware security appl

93 However, it has not yet been analyzed how stochasticity can enrich the system's behavior, creating

94 oblem analytically or numerically shows that stochasticity can have a large positive impact on fish r

95 reaction systems in a small volume, however, stochasticity can induce bistability and bifurcation tha

96 a compelling example of how lineage sorting stochasticity can lead to incongruence between gene tree

97 In another treatment, stochasticity caused frequent directional phase shifting

98 a comparison reveals that in the presence of stochasticity, certain biomolecular mechanisms can profo

99 cted drug-resistant individuals, the role of stochasticity (chance events) is likely to be important.

100 twork behavior, they fail to incorporate the stochasticity characteristic of gene expression, thereby

101 ce amplify noise, demonstrating that minimum stochasticity coincides with physiological abundance of

102 However, demographic stochasticity could also affect leading-edge sex ratios,

103 Exceptionally high population stochasticity, declining numbers, and a small current po

104 ity as a unit where all species occur due to stochasticity, determinism or some mixture of the two.

105 The choice of stochasticity distribution for modeling the noise distri

106 one strategies and small costs, we find that stochasticity does not increase the propensity for coope

107 e bistable and that inherent gene expression stochasticity does not induce spontaneous state transiti

108 Variance is also produced by individual stochasticity, due to random events in the life cycle of

109 Dynamic flux and stochasticity during pre-nucleation renders the reaction

110 Furthermore, SD increased overall choice stochasticity during risky choice.

111 cological processes that enhance demographic stochasticity during the period of establishment.

112 results demonstrate that despite the overall stochasticity, even molecular evolution has a certain de

113 How does this stochasticity fit with the progression of temporal compe

114 es into contributions from UH and individual stochasticity for an animal population in the wild.

115 sensory evolution and revealing benefits of stochasticity for neural information processing.

116 ed whether a superimposed external source of stochasticity (for example due to environmental variatio

117 nd the importance of distinguishing chemical stochasticity from possible hidden variables in cellular

118 data that enable us to quantify methylation stochasticity genome-wide using Shannon's entropy, assoc

119 is shows that the magnitude of environmental stochasticity governs the classical trade-off between se

120 Stochasticity has been introduced in the model to simula

121 Stochasticity has important mechanistic requirements.

122 sting (one of the most well-known sources of stochasticity) has continued to evade understanding.

123 ting from genetic linkages and environmental stochasticity, have largely prevented observation of thi

124 the attractors' basins reveals the origin of stochasticity, hysteresis and multistability in these sy

125 ces will provide deeper understanding on how stochasticity impacts phenotype.

126 both during therapy and in its absence, with stochasticities in individual parameters interacting in

127 autoregressive model are modulated by pacing stochasticity in a nonlinear, biphasic way, so that for

128 rowth rate will favor a genotypes with lower stochasticity in age-specific survival and fertility rat

129 The growing interest in the role of stochasticity in biochemical systems drives the demand f

130 The importance of stochasticity in biological systems is becoming increasi

131 se is only one of many manifestations of the stochasticity in cellular molecular processes, our resul

132 Ultimately, stochasticity in cellular processes results in variation

133 This noise was proposed to result from stochasticity in chemoreceptor methylation, and it is be

134 n and analytical estimates, we attribute the stochasticity in delay time to the probabilistic process

135 tion arising from sparse tree distributions; stochasticity in demographic and environmental processes

136 One important aspect is the role of stochasticity in determining the nature of the patient r

137 imal culling strategies that take account of stochasticity in disease spread, and how the effectivene

138 st a much more fundamental role of molecular stochasticity in evolution than is currently appreciated

139 Serial imaging approaches also uncovered stochasticity in fluorescently labeled leukemia regrowth

140 It is well known that stochasticity in gene expression can lead to differentia

141 we propose that the NDR function in limiting stochasticity in gene expression promotes the ubiquity a

142 strength and mRNA sequences, that can affect stochasticity in gene expression.

143 ples of fastFISH design can be used to study stochasticity in gene regulation, to select targets for

144 interest, thereby quantifying the effect of stochasticity in intracellular reactions or the variabil

145 at appraising the dynamics between size and stochasticity in irrigation systems, whose understanding

146 del and reveals an underappreciated role for stochasticity in language evolution.

147 e temporally variable, depending not only on stochasticity in larval supply, but also on the presence

148 odel remains unchanged, indicating a role of stochasticity in modulating the behavior of the system.

149 ting number of theoretical models explaining stochasticity in protein expression, we lack a robust, e

150 lation, and RNA and protein degradation from stochasticity in protein expression.

151 Our main message is that stochasticity in quantal information sampling is less no

152 We also demonstrate how programmed stochasticity in RAD system performance arising from bid

153 t the major sources of heterogeneity, namely stochasticity in reaction, DNA-duplication, and division

154 ty or endogenously by demographic or genetic stochasticity in reproduction, survival, and dispersal.

155 nding of cancer heterogeneity and reveal how stochasticity in single-cell behaviors promotes phenotyp

156 now know that living cells take advantage of stochasticity in some cases and counteract stochastic ef

157 h/Delta signalling can contribute to explain stochasticity in stem cell fate decisions, and that the

158 probabilistic nature of vesicle release and stochasticity in synaptic recovery time.

159 Two major sources of stochasticity in the dynamics of neutral alleles result

160 it can provide new insight into the role of stochasticity in the emergence of phenotypic diversity.

161 First, stochasticity in the expression of critical genes promot

162 ter has been implicated as a major source of stochasticity in the expression of many genes.

163 Finally, we find that stochasticity in the expression of only a few genes may

164 theoretical approach introducing demographic stochasticity in the Fisher-Kolmogorov framework of reac

165 cause invasive disease: host susceptibility, stochasticity in the host-bacteria interaction, and the

166 ments, our simulations show that by assuming stochasticity in the initial number of DSBs and the DNA

167 This study illustrates how stochasticity in the kinetics of a complex process can b

168 labelling have emphasized a crucial role for stochasticity in the maintenance and regeneration of cyc

169 We conclude by proposing a model wherein stochasticity in the nuclear location of the early B cel

170 The distinct nature of stochasticity in the outcome of infection by low and hig

171 However, stochasticity in the parameters of enteric E. coli ecolo

172 chetes display an array of phenotypes due to stochasticity in the pathways that regulate osp expressi

173 at the shoot apex, integrating locality and stochasticity in the patterning system.

174 model) to research the sources and roles of stochasticity in the resistance dynamics, both during pa

175 influence of these processes on demographic stochasticity in the system and the differential respons

176 Stochasticity in the trigeminal nucleus pathway allows u

177 ility analysis tools, we show that increased stochasticity in the ventricular tissue activation seque

178 Stochasticity in time series explains concave responses

179 Abundant phosphorylation and low stochasticity in transcription and translation indicate

180 seq) provides a comprehensive measurement of stochasticity in transcription, but the limitations of t

181 g, through a stylized theoretical model, how stochasticity in water availability and taxation interac

182 When subjected to strong stochasticity in water availability or taxation, irrigat

183 ith non-trivial insights into the origins of stochasticity, in total, however, they constitute a patc

184 A higher stochasticity index implies a larger reduction of soil l

185 -grained, computer-assisted analysis of such stochasticity-induced switching in animal groups.

186 Stochasticity inherent to biochemical reactions (intrins

187 Our study further shows that taking stochasticity into account leads to results that can dif

188 the importance of incorporating demographic stochasticity into basic models of population genetics.

189 incorporating uncertainty and environmental stochasticity into models of adaptive behavior.

190 Stochasticity is a hallmark of cellular processes, and d

191 Here we show that when demographic stochasticity is accounted for, selection can in fact ac

192 We speculate on why stochasticity is advantageous-and even critical in some

193 Stochasticity is an essential aspect of biochemical proc

194 Environmental stochasticity is an important concept in population dyna

195 Stochasticity is an indispensable aspect of biochemical

196 ing of key intracellular events despite such stochasticity is an intriguing fundamental problem.

197 croRNA sequencing data and observed that its stochasticity is better approximated by gamma distributi

198 ironmental changes or from intrinsic process stochasticity is currently unknown.

199 because, with limited resources, demographic stochasticity is expected to lead to the eventual extinc

200 ese results suggest that high cardiac pacing stochasticity is likely to reduce the risk of cardiac ar

201 a stochastic mechanism, [Formula: see text] stochasticity is not essential for a qualitative predict

202 We find that PCR stochasticity is the major force skewing sequence repres

203 ver, the molecular mechanism underlying such stochasticity is unknown.

204 Despite this structural stochasticity, localization of active gene domains to bo

205 lattice, even in the presence of demographic stochasticity, many of the qualitative features of these

206 evels of observation error and environmental stochasticity masked most predator signals.

207 In small populations, demographic stochasticity may instead lead to the extinction of the

208 nd models ignoring contact heterogeneity and stochasticity may provide misleading policy recommendati

209 Variation in splicing, despite its stochasticity, may play in contrast a comparatively grea

210 t: an ultrasensitive phosphorylation switch; stochasticity ("noise"), which activates that switch; an

211 In one class of switches, the stochasticity of a single-molecule event, a specific and

212 that generate varying degrees of expression stochasticity of an antifungal resistance gene.

213 Stochasticity of ATP hydrolysis breaks the initial symme

214 The contrast between the stochasticity of biochemical networks and the regularity

215 ditions have been attributed to the inherent stochasticity of biochemical processes.

216 ises from multiple sources, such as inherent stochasticity of biomolecular processes, random partitio

217 ether this heterogeneity may account for the stochasticity of cell fate decisions in stem cells.

218 notype is usually attributed to the inherent stochasticity of chemical reactions in the cell.

219 orrelated in opposite ways with the baseline stochasticity of choice behavior.

220 The stochasticity of chromosome organization was investigate

221 reak scenarios with respect to the intrinsic stochasticity of disease transmission and traffic flows.

222 xperiments to investigate the robustness and stochasticity of diverse molecular mechanisms with high

223 Gal4 transcription factor both regulates the stochasticity of GAL gene expression and potentiates str

224 To confirm that increased stochasticity of gene expression could be a result of in

225 The intrinsic stochasticity of gene expression leads to cell-to-cell v

226 ingularity can be achieved despite intrinsic stochasticity of gene expression.

227 Despite the inherent stochasticity of grid-cell firing, phase precession is t

228 Consequently, despite the intrinsic stochasticity of individual behavior, establishing the h

229 We focus on epidemic cycles, driven by the stochasticity of infection and recovery events, and stud

230 cells arises spontaneously from the inherent stochasticity of intracellular biochemical reactions and

231 ying genetic circuits leverage the intrinsic stochasticity of intracellular chemistry to drive transi

232 deling tools are often inadequate due to the stochasticity of intracellular reaction networks that ca

233 for investigating cryptic phenotypes and the stochasticity of large-scale epigenetic controls.

234 t number and cell volume sets the biological stochasticity of living cells.

235 require strategies that exploit the inherent stochasticity of molecular systems in a controlled fashi

236 afast crystallization stems from the reduced stochasticity of nucleation through geometrically matche

237 notches in thick nanowires and the intrinsic stochasticity of pinning at double notches, despite thei

238 Thus, the apparent stochasticity of preferences might relate to the VMPFC a

239 In T cells, the stochasticity of protein expression could contribute to

240 scope of scRNA-seq experiments to probe the stochasticity of RNA processing.

241 The stochasticity of RNA sequencing has been assumed to foll

242 analyses suggest that splicing noise (due to stochasticity of splicing process) can cause AS at GYNNG

243 echniques, and also incorporate the inherent stochasticity of such systems.

244 ise and acoustic pressure; (b) simulation of stochasticity of SUP by failures in jobs service in the

245 function of neuromodulation, the balance or stochasticity of synaptic inputs to the network, and the

246 The stochasticity of the ABM allows the possible coexistence

247 n of analysis being affected by the inherent stochasticity of the analyte movement and its initial po

248 Due to the non-linearity, complexity and stochasticity of the epidemic process, it is not possibl

249 Given the stochasticity of the plating process, we show that the n

250 y homogeneous intracellular environment, the stochasticity of transcription would produce fluctuation

251 triggered by a positive-feedback switch, the stochasticity of transcriptional control is harnessed to

252 he evolution of deterministic asymmetry from stochasticity offers an example of Waddington's genetic

253 we quantitatively investigate the effects of stochasticity on cell synchrony, using mathematical mode

254 importance of demographic and environmental stochasticity on the dynamics of an epidemic, their effe

255 ts of interfacial roughness and interdigital stochasticity on the strength and toughness of a bimater

256 analyzed using models that ignore extrinsic stochasticity only under very special conditions that ra

257 ay be a poor understanding and accounting of stochasticity, particularly for stock recruitment.

258 assesses the antiarrhythmic effect of pacing stochasticity per se.

259 Gene expression stochasticity plays a major role in biology, creating no

260 insertion of discrete patches suggests that stochasticity plays a major role in patterning and mater

261 We present additional data suggesting that stochasticity plays an important role in the combination

262 Stochasticity plays an important role in the evolutionar

263 luctuations, we must identify the sources of stochasticity, quantify their effects, and distinguish i

264 The resulting "payoff stochasticity" reduces the intensity of selection and th

265 The same techniques also show that stochasticity results in the observation of an all-or-no

266 at under certain conditions of environmental stochasticity, selection actually favors sensors of lowe

267 idered, suggesting that this nonconventional stochasticity source may be important for biological fun

268 We report that increased stochasticity spreads the timing of differentiation in a

269 cts of four important sources of error-bias, stochasticity, template switches and polymerase errors-o

270 eightfold faster lag times and fourfold less stochasticity than in previous studies.

271 a dopamine neuron incorporating ion channel stochasticity that enabled the analysis of availability

272 nsity and consequent increase in demographic stochasticity that it causes.

273 This leads to significant stochasticity that needs to be accounted for.

274 ates among times or locations (environmental stochasticity), the sex of individuals and variation in

275 o that for exceedingly high levels of pacing stochasticity, the antiarrhythmic effect is hampered by

276 Stochasticity therefore plays a crucial role in this exc

277 feration behavior shows a high degree of non-stochasticity, thus a deterministic characteristic of ne

278 ssion parameters and techniques for altering stochasticity to change phenotype of individual cells.

279 How cells correct for stochasticity to coordinate the chromosome replication a

280 investigate the contribution of demographic stochasticity to density-dependent population dynamics i

281 generally, our results suggest a pathway for stochasticity to improve surgical reattachment strategie

282 Low copy numbers create an element of stochasticity to the induction of translation-dependent

283 ever, the dynamic mechanisms relating pacing stochasticity to tissue stability are not yet known.

284 sk involves a trade-off between the need for stochasticity, to allow strategies to be discriminated,

285 frequencies, while a model that ignores this stochasticity transfers information encoded at any frequ

286 ath at the level of individuals (demographic stochasticity), variation in population-level birth and

287 we focus on an important form of demographic stochasticity: variation in litter sizes.

288 The respective role of UH vs. individual stochasticity varies greatly among demographic outcomes.

289 Moreover, stochasticity was found to be a significant antagonist t

290 In the 1D model, pacing stochasticity was found to sustain a moderating effect o

291 This shift in the relative importance of stochasticity was most consistent with the hypothesis of

292 Motivated by the gamma distributed stochasticity, we provided a simple method for the analy

293 nomenon at the crossroads of determinism and stochasticity, we use an intermediate theoretical approa

294 s regulating them is a significant source of stochasticity, which affects the phase of biochemical os

295 ic conditions, in the context of demographic stochasticity, which is well known to exist in finite na

296 In addition, our findings on PCR stochasticity will have particular relevance to quantifi

297 e" where a failure to account for coalescent stochasticity will mislead phylogenetic inference.

298 a set of simple rules that combine baseline stochasticity with intercellular communication.

299 es exhibited extensive interference and less stochasticity, with multiple beneficial mutations establ

300 ead, despite the prediction that demographic stochasticity would weaken a signal of sex-biased disper