ライフサイエンスコーパス: mathematically

1 late to other analyses both conceptually and mathematically.

2 are monitored systematically and deconvolved mathematically.

3 ed a simplified matK gene expression network mathematically.

4 and could be modeled both statistically and mathematically.

5 data to model individual acquisition curves mathematically.

6 shown to be bistable both experimentally and mathematically.

7 xG), and S(MaxG_root), which we demonstrated mathematically.

8 r all lumophores involved can be represented mathematically.

9 e to solve for optimal vaccine distributions mathematically.

10 ics of GSL transfer, is presented and solved mathematically.

11 Defect volume was computed mathematically.

12 yet to be quantified empirically or modeled mathematically.

13 as been well studied both experimentally and mathematically.

14 ationally expensive and difficult to analyse mathematically.

15 oice and exchange that is neurally detailed, mathematically accurate, and behaviorally relevant.

16 The best level of predictability (99.6%) was mathematically achieved when severe centrilobular NIA an

17 eoretical basis of the technique is analyzed mathematically, allowing quantitative estimation of bind

18 ion and maximization of diversity, which are mathematically analogous to energy and entropy in thermo

19 e patterning of haemocyte movements, we have mathematically analysed and simulated their contact repu

20 , so that the entire forest can be described mathematically and behaves structurally and functionally

21 Genome coverage was estimated mathematically and empirically by hybridization and exte

22 Here, we analysed seizure dynamics mathematically and established a taxonomy of seizures ba

23 urrent-clamp recordings we have defined both mathematically and experimentally the relationship betwe

24 However, the joint system is shown mathematically and experimentally to be viable over a wi

25 by anaerobic ethylbenzene hydroxylation both mathematically and experimentally, develops alternative

26 We show, both mathematically and experimentally, that the single nucle

27 utrition Examination Survey were reevaluated mathematically and graphically based on the preliminary

28 We examined, mathematically and graphically, the relationship of PaO2

29 are natural to formulate and can be analyzed mathematically and numerically.

30 rify this question, we modelled this process mathematically and performed extensive deterministic and

31 We solve the kinetic model mathematically and use it to analyze kinetic data from f

32 due to anemia is prevalent, can be corrected mathematically, and correction uncovers occult hypoglyce

33 We formalized the sushi belt model mathematically, and show that it can achieve arbitrarily

34 show that inclusion of processes represented mathematically as density-dependent regulation of either

35 erials, and how materials can be represented mathematically as genomes, describes fitness landscapes

36 Historically, stylized and mathematically based models have been used for establish

37 as a function of time that was then modeled mathematically based on iodine mass and volume balances.

38 design and construction can be derived from mathematically based structures.

39 oses to small animals have been stylized and mathematically based.

40 Mathematically, based on non-singular transformation, we

41 unconstrained parameters and can be analyzed mathematically both at neuronal and cognitive levels.

42 Simplification is obtained by mathematically breaking a large molecule into smaller pa

43 Stomata have long been modeled mathematically, but until now, no systems analysis of a

44 The dynamics of the system is described mathematically by a target-mediated drug disposition mod

45 We address the problem mathematically by adopting the framework of the phenomen

46 n curves for each lipid, which were analyzed mathematically by polynomial regression for accurate qua

47 ipid geometry within the vesicles, described mathematically by the average intrinsic curvature, C(0,a

48 ed as a continuous elastic ribbon, described mathematically by the nonlinear Kirchhoff differential e

49 by cooperative interactions and is described mathematically by the slope parameter or Hill coefficien

50 and, if possible, their results are combined mathematically by using a process known as meta-analysis

51 To mathematically characterize the organization of inputs w

52 (TCGA) and in-house patient databases can be mathematically classified into high miR-21/low Sox2 (Cla

53 ould brain signals be spatially selected and mathematically combined to ensure that decoding reflects

54 we present a new theoretical approach which mathematically combines PATHWAY donor/acceptor coupling

55 enged due to the use of highly-parameterized mathematically complex structures to capture the release

56 al understanding, a conceptually simple, but mathematically complex, model is proposed for the dynami

57 ure, which has long been sought and has been mathematically computed and known to exist in the resear

58 he conservativeness of our approach has been mathematically confirmed in this study.

59 ional approach to dissipative systems allows mathematically consistent treatment of the bio-ions Na(+

60 R(2) = 0.94-0.99), which were observed to be mathematically consistent with classic DLVO theory.

61 ch for describing RNA structure in a simple, mathematically consistent, and computationally accessibl

62 intuition about this system can be gained by mathematically constructing a single gene with effective

63 antifying the effect size of cis-eQTLs and a mathematically convenient approach for systematic modeli

64 any other basic population models, makes the mathematically convenient assumption that populations ar

65 such regressions by studying artificial but mathematically convenient fitness landscapes.

66 es a composite fluorescent contour, which is mathematically converted to a sequence-specific fluoresc

67 may lead to invalid results even if they are mathematically correct.

68 ents in our ability to characterize the data mathematically could enable much more powerful statistic

69 Na(+), K(+), Rb(+), or Cs(+) counterions, we mathematically decompose the scattering profiles into co

70 Recently, we resolved individual CnClm by mathematically deconvolving soft ionization high-resolut

71 patial extent of their axon trees suggests a mathematically definable organization, reminiscent of 's

72 We mathematically define a higher-order GSVD (HO GSVD) for

73 metabolism of E.coli into elementary modes (mathematically defined biochemical pathways) and assessi

74 Here we mathematically demonstrate how partitioning errors arise

75 Here we mathematically demonstrate how stochastic partitioning c

76 Here we mathematically demonstrate how two identical and indepen

77 r the capacity for multistationarity, and we mathematically demonstrate that shuttling confers flexib

78 We mathematically demonstrate that T6SS-mediated killing sh

79 ch as the brain, amplitude and frequency are mathematically dependent.

80 The combined dataset was used to mathematically derive a 3D quantitative map of frequency

81 We mathematically derive an observer structure for cells gr

82 ptic plasticity termed the "Convallis rule", mathematically derived from a principle of unsupervised

83 We demonstrate that FRVs can be mathematically derived from coast down coefficients in t

84 We introduce here the use of a portfolio of mathematically derived immittance functions and related

85 p (EcCrp, also CAP) and DNA were analyzed to mathematically describe, and make human-readable, the re

86 The extraction kinetics was mathematically described using the first order kinetic m

87 ed real-time patterns of memory traces to be mathematically described, directly visualized, and dynam

88 Reaction progress experiments may be mathematically designed to elucidate catalytic rate laws

89 The purpose of this study is to mathematically determine local and regional patterns of

90 that survived the double interrogation were mathematically different but schematically identical and

91 Models involved are mathematically difficult and computationally challenging

92 This mathematically diminishes the surface plasmon resonance

93 es of a gene in a population of cells can be mathematically dissected into two contributing component

94 erlapping in a chromatographic separation by mathematically dissecting the NMR spectra obtained from

95 Recent studies have used four mathematically distinct definitions of genetic interacti

96 al identifications necessary to move primary mathematically driven LC-EC biomarker discovery into bio

97 , and it was presumed that these methods are mathematically equatable.

98 arch results from these methods could not be mathematically equated to the USDA Starch Research metho

99 he initial bolus and ion current models give mathematically equivalent predictions for length control

100 ging study, we investigated how people solve mathematically equivalent problems presented in two alte

101 sized that the four methods of communicating mathematically equivalent risk information would lead to

102 reated with a classical (non quantum) model, mathematically equivalent to a Nernst distribution for o

103 We developed a motor task that is mathematically equivalent to choosing between lotteries

104 The parameter is mathematically equivalent to FST and we show how existin

105 These models are mathematically equivalent to generalized linear models o

106 , decomposition of linkage disequilibrium is mathematically equivalent to number theoretic compositio

107 These models are mathematically equivalent to statistical physics models

108 e vertical shifts of neighbouring chains-are mathematically equivalent to the phase angles of rotatin

109 adeoff between probability and numerosity is mathematically equivalent to the relationship between en

110 information within experimental units and is mathematically equivalent to the treatment level in a ne

111 In addition, we use a binding isotherm to mathematically estimate the loading capacity of the dend

112 inciple, implement any behaviour that can be mathematically expressed as such.

113 hydrodynamic volume of the attached entity, mathematically expressed by its intrinsic viscosity [eta

114 With these data, we also mathematically extrapolate the number of HIV-1 particles

115 is has led to a reliance on metrics that are mathematically flawed and insufficiently diverse to acco

116 Here, we analyze this scenario mathematically, focusing on the evolution of a Dobzhansk

117 .2 kPa]); and c) the inspired CO2 calculated mathematically for a semiclosed system model of CO2 rebr

118 Correcting mathematically for the dose dependence of induction/reso

119 of different cognitive processes that can be mathematically formalised as dissociable computational m

120 We mathematically formulate the problem as one of optimally

121 states of polarization (SOP) has always been mathematically formulated by a series of linear transfor

122 We mathematically formulated our goal as a constrained opti

123 ped a physics model for the TIMES signal and mathematically formulated the problem to attain physical

124 Mathematically, Fourier ptychographic (FP) reconstructio

125 et of data samples, or of profiles extracted mathematically from data samples, designated the "basis"

126 s can be synthesised, only a fraction of the mathematically generated networks would be chemically fe

127 e initialized using empirically generated or mathematically generated pure component spectra.

128 eraction profiles, which we biologically and mathematically grouped into five positive and five negat

129 believe is the first such a design that has mathematically guaranteed properties of stability and au

130 result and computational efficiency are both mathematically guaranteed.

131 In this paper we examine mathematically how the population CV relates to the mean

132 first show experimentally, and then explain mathematically, how even in the simplest signaling syste

133 tative approach to modeling behavior that is mathematically identical across species, and accruing ev

134 pplies to binary predictors because they are mathematically identical to Boolean classifiers.

135 for Saito's 3-step mechanism is shown to be mathematically identical to the earlier, 1997 2-step F-W

136 a nonlinear classical-field equation that is mathematically identical to the Landau model and provide

137 imple "parsimonious" rabbit AP model that is mathematically identifiable (i.e., not over parameterize

138 from 72 immunogen-parasite combinations, we mathematically identified 13 amino acid polymorphic site

139 on-electron resonance (DEER) experiment is a mathematically ill-posed problem.

140 Usually the method is mathematically ill-posed, because the single scalar equa

141 artial differential equation, and that it is mathematically impossible to do this using inclusive fit

142 This approach can be expressed mathematically in a branch of game theory that pertains

143 We use OMPBioM to assess OMP biogenesis mathematically in a global manner.

144 We have accounted for this mathematically in determining the concentration dispersi

145 varying-effectiveness (VE) model is studied mathematically in the context of HCV infection.

146 perty because it means that the inference is mathematically incorrect and formally illogical, and the

147 The Stewart approach emphasizes mathematically independent and dependent variables.

148 This measure is mathematically independent from expression level and all

149 A mathematically independent phase-amplitude model reprodu

150 ndex was confirmed in group 2 subjects using mathematically independent techniques to measure these v

151 CD4 T-cell responses to vaccinia virus were mathematically indistinguishable for antigen breadth and

152 This hybrid behavior leads to a mathematically infinite number of crossover points in th

153 Mathematically integrating the mutation model with backg

154 or 11 generic consumer strategies that group mathematically into predators, parasites, and micropreda

155 etrospectively or prospectively according to mathematically intractable genetic models, and to assist

156 Modelling this mathematically is problematic since strains within a fun

157 Mathematically it explains how myofibers are bundled in

158 Computationally and mathematically, it is more feasible to model and simulat

159 f whether such actuarial methods are in fact mathematically justified, even under the most idealized

160 certain successive steps together to yield a mathematically less complex representation that is able

161 As models become more complex and mathematically less tractable, the need for an integrate

162 These results are used to assemble and mathematically model a gene regulatory network that exhi

163 rganism Escherichia coli, it was our goal to mathematically model a metabolic system of intermediate

164 le to infrared radiation that can be used to mathematically model and predict selectivity trends for

165 mplex biological systems, it was our goal to mathematically model common enzyme catalytic and regulat

166 bfemtoliter nuclear volumes and used this to mathematically model DSB response kinetics of MDC1 and o

167 the detailed inhibition kinetics required to mathematically model HCV RNA decline have been lacking.

168 ues, including a novel MP grammars method to mathematically model putative regulatory interactions am

169 Here, we mathematically model the coevolution of sex-specific hel

170 In this work we mathematically model the dynamics of CML response to com

171 Efforts to mathematically model the LuxR-LuxI system are providing

172 tions of these phototactic cells in order to mathematically model this quasi-random motion.

173 We mathematically model this transmission by a diffusive me

174 of eukaryotic mRNA from total RNA was first mathematically modeled and then achieved using PPM in ca

175 y-free core has been previously observed and mathematically modeled and was termed the "binding site

176 Real-world complex systems may be mathematically modeled as graphs, revealing properties o

177 These responses can be mathematically modeled by assuming an internal state tha

178 Here we mathematically modeled hemifusion of synthetic vesicles,

179 delta's roles in inflammatory signaling, we mathematically modeled the 4-IkappaB-containing NF-kappa

180 To address this, we mathematically modeled the effect of dedifferentiation o

181 vical cancer cells and, based on these data, mathematically modeled the proapoptotic TRAIL signaling

182 o understand the basis for this reversal, we mathematically modeled these T(CD8+) responses and used

183 and NIK with NF-kappaB2/p100 processing, we mathematically modeled TRAF1.NIK as a coupling signaling

184 We mathematically modeled transcriptional regulation of the

185 We quantified and mathematically modeled two processes that are upregulate

186 Bacterial burden observed at 24 h was mathematically modeled using a 3-dimensional response su

187 otemporal distribution of Abeta in AD can be mathematically modeled using a logistic growth model in

188 Data obtained from this model were mathematically modeled, and the drug-exposure breakpoint

189 c flow, and their shapes both evaluated, and mathematically modeled, before subsequent shell solidifi

190 nd the relationship between APFV and EGA was mathematically modeled.

191 displacement-weighted velocity analysis and mathematically modeling the results, we found that K40 a

192 In this article, we revisit the problem of mathematically modeling transcriptional regulation.

193 dently of one another, this behaviour can be mathematically modelled as a random process based on the

194 We mathematically modelled stress on individual bees which

195 r students may easily follow by omitting the mathematically more elaborate parts.

196 Based on our analysis, the mathematically most likely explanation for the renewed g

197 , we scanned professional mathematicians and mathematically naive subjects of equal academic standing

198 neurons on very short timescales, which are mathematically nearly independent of neuronal interactio

199 mber, radius, and tortuosity were calculated mathematically, normalized with values obtained in 34 he

200 Mathematically optimal alignments do not always properly

201 so used dynamic programming to calculate the mathematically optimal control laws of an "ideal actor"

202 models, we develop a new methodology to find mathematically optimal schedules of light exposure and a

203 faster, and in restricted cases, provides a mathematically optimal solution.

204 ise constant protocols are compared with the mathematically optimal solutions.

205 A mathematically optimal strategy would be "square-root bi

206 unction, suffer from a clear guidance either mathematically or biologically.

207 m with varying degrees of noise added either mathematically or experimentally.

208 raphs (RAG) database describes and ranks all mathematically possible (including existing and candidat

209 Of the 216,739 mathematically possible cages for 60 < n <or= 84, just t

210 This is mathematically possible due to the existence of a unique

211 resent the lowest trial-to-trial variability mathematically possible for responses of a given firing

212 Of the 5770 mathematically possible fullerene cages for n <or= 60, e

213 We present a mathematically precise formulation of total linkage dise

214 on dynamics in Drosophila imaginal discs, we mathematically predict the convergence of epithelial top

215 ptor responses by manipulating mixtures in a mathematically predictable manner.

216 CT image quality and radiation dose can be mathematically predicted and optimized on the basis of p

217 Our mathematically predicted cell division process will need

218 It is mathematically predicted that a highly variable surface

219 q experiments necessitate scalable, fast and mathematically principled analysis software.

220 ommunity detection in networks and develop a mathematically principled approach that combines a netwo

221 Our method is a high-performing and mathematically principled framework for learning similar

222 do is always superior to that which would be mathematically propagated assuming independent measureme

223 Within this framework, we mathematically prove that seeking rewards is equivalent

224 We mathematically proved the null independence of existent

225 tation resolves sequences' degeneracy and is mathematically proven to eliminate circuit formation.

226 This approach appears to mathematically reflect the linear relation of ferritin c

227 ty and fractional coverage, were found to be mathematically related.

228 uicides and daily duration of sunshine after mathematically removing the effects of season.

229 These regions were mathematically resolved using parallel factor analysis t

230 he two alleles to any unknown mixture can be mathematically resolved.

231 Metabolic modelling provides a mathematically rigorous basis for system-level analysis

232 by the multidimensional parameter space in a mathematically rigorous fashion.

233 l standards and clustered chromatograms in a mathematically rigorous framework.

234 n the present study, we used this metric and mathematically rigorous joint-action analysis to investi

235 eveals many features of this transition in a mathematically rigorous manner.

236 Here we present a mathematically rigorous method for locating such phase t

237 We present here a mathematically rigorous model for conditioning inspired

238 atures, and constructs a precise, smooth and mathematically rigorous profile.

239 ave found a physical realization of the only mathematically rigorous route to a non-Fermi liquid, nam

240 We introduce here a mathematically robust measure for food web intervality.

241 Using PARAFAC, we mathematically separate (deconvolute) the 3D data "volum

242 We mathematically show that the velocities of all swarm mem

243 We model this process mathematically, showing that it produces 32 equivalence

244 In particular, the more mathematically similar (less orthogonal) the molar absor

245 Mathematically similar energy functionals have been rela

246 The kinetic behavior is mathematically similar to that of well-known cooperative

247 rdependent events is ultimately reduced to a mathematically simple model, whose two parameters can be

248 This temperature profile was compared with a mathematically simulated profile generated by a cold-cap

249 Mathematically speaking, bow-ties evolve when the rank o

250 ing angles, do not challenge the evidence of mathematically specific geometric structure.

251 We propose a mathematically straightforward method to infer the incid

252 Genome-scale metabolic models are mathematically-structured knowledge bases that can be us

253 n this paper we explore (computationally and mathematically) such situations with the goal of uncover

254 In conclusion, the proposed, mathematically supported, methodology was proven to be h

255 Do gender differences exist among the mathematically talented?

256 We show mathematically that differences between competing ParA c

257 We show mathematically that donor ability can be selected when r

258 Finally, we demonstrate mathematically that heterodimer levels can be less sensi

259 Here we demonstrate mathematically that many less well understood, larger-sc

260 between reward and neural activity and prove mathematically that matching is a generic outcome of suc

261 We show mathematically that such arrays can distinguish between

262 We show mathematically that the slide-and-cluster mechanism robu

263 We previously showed mathematically that there is a unique minimal pathway of

264 tive form of Rho to the active form, we show mathematically that this active regulation of cellular c

265 We show mathematically that trans-pairing and active separation

266 Independent researchers have proved mathematically that, given a set of color-matching funct

267 onitor disease progression; and 2) to assess mathematically the diagnostic power of potential biomark

268 al, and measurement fluctuations, we dissect mathematically the relevant sources of fluctuations that

269 al equations, we are also able to manipulate mathematically the spatial location of the ribosomes, th

270 Specifically, we define mathematically the spectral consistency as an existence

271 Mathematically, the combined rate of formation of biomas

272 Mathematically, the computations are equivalent to a two

273 Mathematically, the dynamical process of resource alloca

274 mbe to characterize, both experimentally and mathematically, the in vivo contributions of Cdk1-mediat

275 Mathematically, the latter question amounts to identifyi

276 Mathematically, the model is described by a coupled syst

277 Mathematically, the optimal learning rule requires weigh

278 Mathematically, the sensitivity of FBA to these flux imb

279 ontains slopes larger than a critical value; mathematically they are traveling waves (shocks) that ha

280 Mathematically they require breaking of time-reversal sy

281 Mathematically this is an important example of graph opt

282 Mathematically this problem involves an underdetermined

283 It turns out that this problem is identical mathematically to the balls in urns occupancy problem in

284 , we demonstrate that this model corresponds mathematically to the well-known Cahn-Hilliard equation

285 Individual assay values were combined mathematically to yield an MDDScore.

286 These results provide a mathematically tractable example of how collective pheno

287 ree distributions are reproduced in a simple mathematically tractable model introduced and analyzed i

288 We present a mathematically tractable model of asymmetric competition

289 These isolated flagella are a unique, mathematically tractable model system for the physics of

290 Here a suite of mathematically tractable models with nontrivial eddy dif

291 c development of simple test models that are mathematically tractable yet capture key features of ani

292 al histology, have focused on evaluating and mathematically transforming the radiofrequency signal fr

293 retic gel migration lengths or mRNA lengths, mathematically unique decorrelated and decoupled "eigeng

294 try and thermodynamic irreversibly to define mathematically unique, systemic metabolic pathways.

295 We demonstrated this approach mathematically using stochastic modeling, and applied it

296 We demonstrate this principle mathematically, using stochastic modeling, and experimen

297 template" patterning mechanism we observe is mathematically very different from the well-known Turing

298 being open curves in which the knots are not mathematically well defined; knotting can only be identi

299 hin the set of SNPs under investigation in a mathematically well-controlled manner into account.

300 ther, these results show that GNM provides a mathematically well-founded unified framework for modeli