ライフサイエンスコーパス: stochasticity

1 roductivity, density dependence, and typical stochasticity).

2 ating the potentially detrimental effects of stochasticity.

3 Biological systems are subject to inherent stochasticity.

4 es into contributions from UH and individual stochasticity.

5 educe variance in vital rates in response to stochasticity.

6 developmental processes and transcriptional stochasticity.

7 accounts for technical noise and expression stochasticity.

8 include components with disparate levels of stochasticity.

9 ckground noise, and thereby increased choice stochasticity.

10 edging strategy in response to environmental stochasticity.

11 diated by evolutionary games and demographic stochasticity.

12 ermal perturbations to significantly enhance stochasticity.

13 dispersal overcomes the inherent biological stochasticity.

14 reduction in wave-speed caused by intrinsic stochasticity.

15 noring errors that result from environmental stochasticity.

16 the replication reaction that emphasizes its stochasticity.

17 ncertainty or parametrisation, or simulation stochasticity.

18 enon is observed in a model with demographic stochasticity.

19 ects of sex-biased dispersal and demographic stochasticity.

20 actises by exploiting the natural sources of stochasticity.

21 s are robust to the inclusion of demographic stochasticity.

22 is integrating the effects of diffusion and stochasticity.

23 mically limit the effects of gene expression stochasticity.

24 ss individuals despite inevitable biological stochasticity.

25 ion of prokaryotes from open environments is stochasticity.

26 in response to demographic or environmental stochasticity.

27 the total variance, is due to environmental stochasticity.

28 eliably approximate the effects of space and stochasticity.

29 the only source of randomness is demographic stochasticity?

30 subcommunity was more heavily influenced by stochasticity (72%) than the abundant (57%).

31 interactions and organism transmission; (7) Stochasticity; (8) Submodels; and (9) Model verification

32 8 to 2014, showing the inherent phylogenetic stochasticity across subsets of the real HIV-1 diversity

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

34 of the experimental evidence of forks' speed stochasticity, all models assumed that forks' speeds are

35 ODE model, for similar initial growth rates stochasticity allows for a slower growing virus to out-c

36 Thus, stochasticity alone may have protected early bacteria fr

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

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

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

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

41 icates and headwaters, reflecting increasing stochasticity amongst tolerant groups in sedimented habi

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

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

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

45 We also capture stochasticity and delays in gene expression that distort

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

47 Understanding variation in the influences of stochasticity and determinism provides a way to focus at

48 traits that are variable under environmental stochasticity and deterministic perturbations, such as r

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

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

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

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

53 studies of models incorporating demographic stochasticity and immigration, two key players in commun

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

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

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

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

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

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

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

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

62 Stochasticity and seasonality can modulate or create cyc

63 Demographic stochasticity and the constraints imposed by a finite la

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

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

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 show that clusters are robust to demographic stochasticity, and can persist under immigration.

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

70 ular heterogeneity rather than intracellular stochasticity, and propagates binary signals repeatedly

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

72 environmental drivers, mainly environmental stochasticity, and the resulting irregular, far-ranging

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

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

75 biological systems of which nonlinearity and stochasticity are intrinsic features leading to remarkab

76 ulti-stability, oscillations, robustness and stochasticity, are critical for understanding gene regul

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

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

79 portance of symbiont community diversity and stochasticity as components of host performance.

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

81 ations being the best studied example of how stochasticity at the molecular scale can influence outco

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

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

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

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

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

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

88 present an emerging approach to address this stochasticity by creating bioengineered sites where canc

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

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

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

92 Transcriptional stochasticity can be measured by counting the number of

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

94 have some appreciation of how environmental stochasticity can moderate the variability and persisten

95 In the presence of inherent physiological stochasticity, cells following this "adder" principle gr

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

97 ults demonstrate that, despite an attributed stochasticity, core origins are chosen from a limited po

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

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

100 tions to the point where, despite underlying stochasticity, derived communities give rise to offsprin

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

102 The choice of stochasticity distribution for modeling the noise distri

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

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

105 ions (as in the upland agroecosystem), while stochasticity-dominated processes lead to divergent func

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

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

108 sulted from the high degree of environmental stochasticity experienced during our study, as dietary s

109 city favors proliferation, and environmental stochasticity favors migration.

110 Mortality via demographic stochasticity favors proliferation, and environmental st

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

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

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

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

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

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

117 Stochasticity has important implications for morphogenes

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

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

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

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

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

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

124 ng a possible commitment point and a cryptic stochasticity in an otherwise invariant C. elegans cell

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

126 able to quantify the differential impact of stochasticity in cell interactions on wild-type and muta

127 noise, which arises during development from stochasticity in cellular and molecular processes when g

128 Ultimately, stochasticity in cellular processes results in variation

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

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

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

132 al and dominant role played by environmental stochasticity in determining the dynamics and stability

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

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

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

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

137 moothing and removal of natural cell-to-cell stochasticity in gene expression.

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

139 nistic basis, and functional implications of stochasticity in genome organization.

140 Cell-to-cell heterogeneity is driven by stochasticity in intracellular reactions and the populat

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

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

143 eq as well as imaging techniques that reveal stochasticity in metabolism.

144 t the importance of a key process underlying stochasticity in microbiome assembly while also revealin

145 efining assemblies is sensitive to noise and stochasticity in neuronal firing patterns and assembly h

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

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

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

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

150 volutionary biology: to quantify the role of stochasticity in shaping phenotypic variation.

151 ons in wake-promoting neurons to account for stochasticity in sleep dynamics and to explain the occur

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

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

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

155 decreased post-operatively, implying greater stochasticity in the belief-to-choice mapping of partici

156 High PPT stochasticity in the Chihuahuan Desert suggests that enh

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

158 e nearly random, suggesting a strong role of stochasticity in the dynamics of the metacommunity.

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

160 ils an important interplay between chaos and stochasticity in the energy assisted switching of magnet

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 Importantly, the stochasticity in the fish's sensorimotor transformations

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

166 solely thermal in nature but also arise from stochasticity in the forces from these molecular motors.

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

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

174 er, it is difficult to determine the role of stochasticity in the success or failure of management be

175 Stochasticity in the trigeminal nucleus pathway allows u

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

177 try and imaging approaches have demonstrated stochasticity in transcription and high variability of c

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

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

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

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

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

183 Stochasticity inherent to biochemical reactions (intrins

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

185 This suggests that gene expression stochasticity is a critical feature that must be constra

186 Stochasticity is a hallmark of cellular processes, and d

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

188 Stochasticity is an essential aspect of biochemical proc

189 Environmental stochasticity is an important concept in population dyna

190 broader perspective, our results reveal that stochasticity is an important limiting factor for self-a

191 Stochasticity is an indispensable aspect of biochemical

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

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

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

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

196 Yet, assessing the role of stochasticity is important for providing a strong founda

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

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

199 In this work, this stochasticity is overcome by incorporating a solid elect

200 extent to which phenotypic variation due to stochasticity is potentially adaptive, the contribution

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

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

203 Random environmental variation, or stochasticity, is a key determinant of ecological dynami

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 same environment can display gene expression stochasticity (noise), which contributes to bet-hedging,

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

212 Stochasticity of ATP hydrolysis breaks the initial symme

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

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

215 dy naturally diversified due to the inherent stochasticity of biological processes.

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

217 Here we explore the idea that stochasticity of cell fate choice during tissue developm

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

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

220 We show that without including stochasticity of forks' speed it is not possible to accu

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

222 We propose a model whereby the intrinsic stochasticity of gene expression facilitates, rather tha

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

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

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

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

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

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

229 riability in VCAM1 expression was not due to stochasticity of intracellular signal transduction but r

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

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

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

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

234 lving bifurcating autoregression to describe stochasticity of partitioning and inheritance of cell-cy

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

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

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

238 The stochasticity of RNA sequencing has been assumed to foll

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

240 is fractionation is driven by the underlying stochasticity of subcellular Ca waves, which perturbs AP

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

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

243 The stochasticity of the ABM allows the possible coexistence

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

245 summary, our work discovers a key role that stochasticity of the forks' speed plays in the dynamics

246 However, the large stochasticity of the ion movement results in switching v

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

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

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

250 The influence of stochasticity on succession increased and new niches wer

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

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

253 e in size and reduce the risk of demographic stochasticity or disasters causing metapopulation extinc

254 assesses the antiarrhythmic effect of pacing stochasticity per se.

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

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

257 Stochasticity plays an important role in the evolutionar

258 e, we employ such a model to investigate how stochasticity propagates from individual biochemical rea

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

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

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

262 This stochasticity stems not only from variations in cell con

263 Stochasticity strongly influences fate acquisition at th

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

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

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

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

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

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

270 a mathematical model based on environmental stochasticity, the stochastic logistic model, quantitati

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

272 s that illustrate the benefits of biological stochasticity to adaptive behavior.

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

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

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

276 algorithms require electrically programmable stochasticity to encode arbitrary probability functions

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

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

279 es of this theoretical account, tying choice stochasticity to the magnitude effect.

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

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

282 exities such as non-stationary environments, stochasticity under exploitation and unknown reward dist

283 nsmission features of SARS-CoV-2, e.g., high stochasticity under low prevalence (as compared to other

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

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

286 (i.e., fertility and mortality), vital rate stochasticity, vital rate covariance, and periodic catas

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

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

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

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

291 in a timely manner is a challenge due to its stochasticity; we propose an empirically derived modific

292 Unexpectedly, we find no signal for stochasticity when drought stress is relieved, likely du

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

294 Linear noise is associated with growth rate stochasticity, which is related to changes in the enviro

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 Importantly, pest population stochasticity would have masked these large effects if n

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