ライフサイエンスコーパス: model-based

1 which can be incorporated into Markov state model-based adaptive sampling schemes and potentially us

2 to treatment (CGT with CIT vs CGT with PLA: model-based adjusted mean [standard error] difference, -

3 lar and linear transcripts using an existing model-based algorithm, Sailfish.

4 r "choice bias." Model-based simulations and model-based analyses of data from these published studie

5 ve selection in three different species, and model-based analyses provide strong evidence of recent h

6 In model-based analyses, a simple BTT strategy was more eff

7 Although a model-based analysis can provide only estimates of healt

8 usly for a population of V1 neurons, using a model-based analysis incorporating knowledge of the feed

9 Model-based analysis of fMRI data showed that striatum a

10 the mass spectra, statistical modeling, and model-based analysis of LC-MS/MS data.

11 k for investigating the pathogenesis through model-based analysis of multi-organ system dynamics and

12 Supported by our data, a model-based analysis suggests that the nonmonotonic resp

13 high-density electrode recordings and novel model-based analysis, we found several novel visual resp

14 this question, we used a gambling task and a model-based analytic approach to measure two types of in

15 ssociated inference algorithm that unify the model-based and data-driven approaches to visualizing an

16 eling goal-directed and habitual behavior as model-based and model-free control.

17 vidence for an arbitration mechanism between model-based and model-free reinforcement learning, placi

18 ted SPECT versus point-spread function (PSF) model-based and time-of-flight (TOF) PET.

19 We have proposed a mixture model based approach to the concordant integrative analy

20 that our approach extends a previous Markov model-based approach to additionally score all pairwise

21 We used a homology model-based approach to identify small-molecule pharmaco

22 Here we present two model-based approaches for estimating synaptic weights a

23 s related to study design and application of model-based approaches for evaluating support of trait-b

24 Model-based approaches revealed that the deepest split i

25 r and state-of-the-art Bayesian hierarchical model-based approaches.

26 This study provides the first ecosystem model-based assessment of BD-induced impacts on forest C

27 e of user definable parameters, relying on a model-based Bayesian approach which takes full account o

28 ence suggest that neural circuits supporting model-based behavior are structurally homologous to and

29 lateral orbitofrontal cortex (OFC) supports model-based behavior in rats and primates, but whether t

30 trary to predictions, inactivation disrupted model-based behavior without affecting economic choice.

31 This is termed "model-based" behavior to distinguish it from pre-determi

32 C and S-R prediction error (PE) estimates in model-based behavioral and fMRI analyses.

33 nt for the full range of observed putatively model-based behaviors while still utilizing a core TD fr

34 allows discrimination between model-free and model-based behavioural strategies.

35 Model-based CBS maps for cancer detection showed improve

36 In this article, we developed a model-based clustering method and an R function which us

37 We introduce a model-based clustering method to estimate the probabilit

38 Model-based clustering of 397 differentially expressed g

39 Model-based comparison between current standard (CD4 cou

40 equenced genomes, and used both pairwise and model-based comparisons to investigate the impact of the

41 , we lay out a family of approaches by which model-based computation may be built upon a core of TD l

42 traveling salesman problem and hidden Markov model-based computational method named reCAT, to recover

43 and combined these data with a mathematical model-based computational screen to test hypotheses for

44 ogether, these findings highlight a role for model-based control as a transdiagnostic impairment unde

45 The concept of model-based control can be further extended into pavlovi

46 elationship between temporal discounting and model-based control in a large new data set (n = 168).

47 ued mice: a marker of individual bias to use model-based control in humans.

48 lcohol expectancies were associated with low model-based control in relapsers, while the opposite was

49 However, reduced model-based control per se was not associated with subse

50 interindividual differences in the degree of model-based control, and those differences are predicted

51 Goal-directed control, also known as model-based control, is based on an affective outcome re

52 g between innate, model-free, heuristic, and model-based controllers.

53 Model-based cost-effectiveness analysis.

54 easurement) in the study, after matching and model-based covariate adjustment, compared with each con

55 irical record is inconclusive but argue that model-based data analysis does offer a way to make progr

56 ction between high drug expectancies and low model-based decision making.

57 d medial prefrontal cortex activation during model-based decision making.

58 t models can be successfully integrated into model-based demographic inference.

59 dels for human adipocytes, may contribute to model-based drug development for diabetes.

60 Several model-based economic evaluations predicted that Xpert wo

61 baseline of 18.9) in the aflibercept group (model-based estimate of between-group difference, -0.14;

62 cial/ethnic and socioeconomic differences in model-based estimates of noise exposure throughout the U

63 estion when available, and interpolation and model-based estimates otherwise.

64 estion when available, and interpolation and model-based estimates otherwise.

65 Our model-based estimates suggest that reducing pathogen pre

66 stics and supplemented with Bayesian ordinal model-based estimation.

67 neurally plausible family of mechanisms for model-based evaluation.

68 Moreover, model-based fMRI analyses identified the caudate nucleus

69 global first-order statistical histogram and model-based fractal features reflecting the whole-tumor

70 burst transcranial magnetic stimulation with model-based functional MRI, we show that disrupting neur

71 ghlands, we assessed the agreement between a model-based geostatistical (MBG) approach to detect hots

72 ree well with in-flight observed RM and with model based GOM and RM estimates.

73 Profile Hidden Markov Model-based homology search has been widely used in prot

74 emissions have been used to derive and test model based hypotheses about behaviour.

75 These functional studies confirmed the model-based hypotheses and provided evidence for protein

76 se results establish that the acquisition of model-based information about transitions between nonrew

77 ormance was found to be markedly improved by model-based integration, whilst maximum predictive capab

78 wo models have been put forward: the budding model, based largely on structural data, and the BamA as

79 t examples of a single situation, we opt for model-based learning and adaptive flexibility.

80 been used to implicate midbrain dopamine in model-based learning, contradicting the view that dopami

81 ce a subset of the behaviors associated with model-based learning, while requiring less decision-time

82 ing task which dissociates model-free versus model-based learning.

83 different strategies known as model-free and model-based learning; the former is mere reinforcement o

84 ecessarily access value even indirectly in a model-based manner.

85 between a slower, prospective goal-directed model-based (MB) strategy and a fast, retrospective habi

86 Subsequently, we calculated two model-based measures: 'integration', a graph theoretical

87 Reduced model-based medial prefrontal cortex signatures in those

88 Here, we present software implementing a model-based method for inferring ROH in genome-wide SNP

89 This tool uses a model-based method to compare allele read fractions at k

90 nd that, using only spike observations, both model-based methods can accurately reconstruct the time-

91 Although many model-based methods have been developed to quantify line

92 series analysis, including metric-based and model-based methods that draw on the mathematical princi

93 oaches, including distance- and evolutionary model-based methods, were used to determine species boun

94 machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determ

95 und water components of cortical bone with a model-based numeric approach with use of ultrashort echo

96 We used the best-fitting model (based on the Akaike Information Criterion [AIC])

97 om liquid-to-skin is describable by a single model based on (1) virus concentration and (2) volume of

98 ictive models per binning configuration: one model based on a combination of in vivo, ex vivo, and cl

99 e predicted by docking against a comparative model based on a eukaryotic homologue.

100 We propose a new QSRR model based on a Kernel-based partial least-squares meth

101 A model based on a mechanism analogous to the ovalization

102 A model based on a putative feedforward loop orchestrated

103 xpression in OP and present a new OP working model based on a single miRNA deficiency in diet-induced

104 mpared with previous approaches such as DRME model based on a statistical test covering the IP sample

105 re we present a theoretical and mathematical model based on an extension of evolutionary game theory

106 This paper proposes a model based on archaeological and ethnographic research

107 We propose a cell-based CE model based on asymmetric filopodial tension forces betw

108 imes and formulated a reinforcement learning model based on belief states.

109 t frameworks, we believe that a more nuanced model based on Bloom's taxonomy is better suited to EHL

110 observations are explained with a numerical model based on charge transport of photoexcited carriers

111 om these simulations was used to constrain a model based on classical Marcus theory, which provided p

112 man primate (NHP) radiation-induced cachexia model based on clinical and molecular pathology findings

113 A model based on clinical baseline variables could not ach

114 h fluids is consistent with predictions of a model based on competing actions of elastic and magnetic

115 ory predicted through a partial least square model based on DeltaK, hydroxytyrosol, pinoresinol, oleu

116 lly, the diagnostic accuracy of a regression model based on dentate gyrus mean diffusivity reached 85

117 A mechanistic model based on detailed photophysical and isomerization

118 r knowledge, a region-specific global health model based on dietary and weight-related risk factors w

119 The mechanistic statistical model based on ecological diffusion led to important eco

120 ously and discuss the parametrization of the model based on empirical data.

121 ng the creation of a hydrodynamic conceptual model based on established ecological theories.

122 In addition, a binning-independent model based on ex vivo and patient information only (M36

123 An analytical model based on field susceptibilities is developed to ex

124 istance behavior, we provide a new numerical model based on finite element modeling.

125 ding to IA status and developed a predictive model based on genetic risk, established clinical risk f

126 es of BE or EAC to develop a risk prediction model based on genetic, clinical, and demographic/lifest

127 mance of a deep-learning bone age assessment model based on hand radiographs with that of expert radi

128 Here, utilizing a unique mouse model based on host (DISC1) X environment (THC administr

129 ribes the development of field based 3D-QSAR model based on human breast cancer cell line MCF7 in vit

130 microscopy to parameterize a full cell-cycle model based on independent control of pre- and post-Star

131 A hybrid control model based on integrated motion cues simulates saccade

132 Some of these models include the classical model based on Jacobson-Stockmayer polymer theory, and a

133 tion to estimate the congruency of each gene model based on known protein or domain homology.

134 We used a biophysical model based on mass transfer theory to show that the dis

135 A random search model based on measured locomotor statistics could not r

136 We outline a new model based on methylation changes.

137 is was performed using the asymmetric island model based on MLST data of human and animal/food isolat

138 s this challenge, we develop a computational model based on multiple types of heterogeneous biologica

139 A risk score model based on multivariate predictors accurately strati

140 e, we developed an integrative computational model based on neural, biochemical, morphological and ph

141 Here, we establish a paternal effect model based on nicotine exposure in mice, enabling pharm

142 y risk factors in adolescence versus a lipid model based on nonlaboratory risk factors plus lipids fo

143 A mathematical model based on our experimental data demonstrates how di

144 We propose a model based on paracrine signalling to account for the s

145 To use a computer simulation model based on Petri nets to evaluate the impact on outc

146 A prognostic risk stratification model based on preselected variables, including index di

147 d and refine an improved sigma(N)-holoenzyme model based on previously published 3.8-A resolution X-r

148 re discussed in the framework of a transport model based on proton-actuated movements in the cytoplas

149 An anatomic computational model based on published airway morphometry was develope

150 We show that a model based on RDMP can robustly perform the probabilist

151 of different structures using a statistical model based on residue-residue co-evolution to capture t

152 tients with type 2 diabetes mellitus using a model based on routinely available patient characteristi

153 100 ms of stimulus onset, and a quantitative model based on signal detection theory (SDT) successfull

154 The multivariate Cox proportional hazards model based on significant prognostic factors of overall

155 impact on mixing, we propose a process-based model based on simple assumptions about organism burrowi

156 es; Fit, including a 3-dimensional geometric model based on spatial resolution (Fit); and Black (Bl),

157 fish quality control aspects, PLS regression model based on spectral range 1139.9-1643.7cm(-1) showed

158 A model based on structural data can replicate these chang

159 cid residue substitutions, and a new kinetic model based on substrate inhibition and sigmoidicity was

160 also fits population responses better than a model based on subtractive inhibition.

161 added as a single test to a basic prediction model based on symptoms.

162 A Linear Discriminant Analysis model based on the abundance of 12 compounds was able to

163 is achieved by optimizing one global kinetic model based on the complete data set while allowing for

164 re interpreted according to a semi-empirical model based on the composition of the coacervate, polyme

165 s and can be rationalized with a transparent model based on the concurrent tensioning and sliding of

166 procedure to construct a bead-spring polymer model based on the EP matrix.

167 k or a complex balanced network, the reduced model based on the exact QSS can be derived.

168 In a multivariate Fine and Gray model based on the external cohort, the presence of clon

169 Here we have developed a numerical model based on the first-principles electronic bandstruc

170 collected and combined with a fixed-effects model based on the intention-to-treat principle.

171 dy was to identify an easy-to-use prognostic model based on the Karnofsky Performance Status (KPS).

172 A model based on the known anatomy of layer 4 demonstrates

173 It can be fully explained by a microscopic model based on the known surface dynamic behavior under

174 A model based on the molecular structure of the prism face

175 propose a shear-dependent platelet adhesive model based on the Morse potential that is calibrated by

176 regression to develop a clinical prediction model based on the most important markers.

177 and computational docking in a BGT1 homology model based on the newly determined X-ray crystal struct

178 We applied a whole-brain model based on the normal form of a supercritical Hopf b

179 Previously, we developed a Markov model based on the presence of one IVM binding site, whi

180 vations we developed, tested and validated a model based on the size-dependence of the elastic energy

181 A disordered exciton model based on the structure of the main plant light-har

182 We develop a model based on the TREM2 structure to explain how differ

183 eactions, we propose a symmetrical two-cycle-model based on the two C15=N isomers of the retinal cofa

184 rld prediction precision for the global risk model based on the World Economic Forum Global Risk Repo

185 We build a mathematical model based on these data and in the aggregate experimen

186 t and validated a conceptual system dynamics model based on these data that explained 79% of the vari

187 We propose a model based on these differential regulatory interaction

188 We then develop a 3D stochastic model based on these individual behaviors to analyze the

189 Here we propose a new model based on this principle of evolving phenotype dist

190 We present a computer model based on translational murine data for in silico t

191 A mathematical model based on trolox pattern was developed to predict a

192 CT screening for lung cancer compared with a model based on USPSTF recommendations was estimated to b

193 A simple linear regression model based on UVB light intensity appears to be a usefu

194 We developed a risk model based on widely available clinical parameters to h

195 B phenotype in an ex vivo pre-clinical mouse model based on xenotransplantation.

196 easonal timescales using a dynamic recycling model, based on a Lagrangian trajectory approach applied

197 The reference model, based on eight clinical variables and a penalised

198 x, we generated a comprehensive mathematical model, based on experimental Ca(2+) measurements in mous

199 ly on structural data, and the BamA assisted model, based on genetic and biochemical studies.

200 We used a degree-corrected stochastic block model, based on goodness-of-fit, to model networks of in

201 ng root water-uptake depths using an inverse model, based on observed productivity and atmosphere, at

202 y of the claw used here is a simplified claw model, based on prior experimental work.

203 s paper, we design a unified non-convex SCCA model, based on seven non-convex functions, for unbiased

204 er baking were used to develop a mechanistic model, based on the asparagine-related pathway, for acry

205 ed disease, we built a novel risk assessment model-based on age and SD OCT segmentation, drusen chara

206 To derive this, expected IQ was modeled based on probability of early (age <4 years) or

207 Prestin has been modeled, based on structural data from related anion tra

208 The underlying modeling - based on spin systems - has been proved to be

209 ring studies of sTie2 dimers in solution and modeling based on crystal structures, we suggest that An

210 body (SPB) by Bayesian integrative structure modeling based on in vivo fluorescence resonance energy

211 trajectory as its input and uses analytical modeling based on nonlinear elasticity and optimization

212 and contractility, as well as computational modeling based on nonlinear elasticity theory including

213 Modeling based on recent crystal structures, along with

214 This Review focuses on classical metal ion modeling based on unpolarized models (including the nonb

215 -EM flexible fitting, and transition pathway modeling) based on an active-state cryo-EM map.

216 pose a mechanism, supported by computational modeling, based on a redox couple of Au(I)-Au(III) speci

217 A trajectory modeling, based on hematocrit evolution pattern, allowed

218 icomponent biogeochemical reactive transport modeling, based on published and newly generated data, i

219 These findings are consistent with numerical modelling based on the minimization of Landau-de Gennes

220 eech sound into meaningful language, we used models based on a hierarchical set of speech features to

221 ome pathological dependencies that undermine models based on a hierarchical stem/progenitor organizat

222 counted for in bimolecular electron transfer models based on a spherical diffusion-reaction approach.

223 We developed linear models based on age, climate and previous growth to fore

224 omata models can be used even in cases where models based on differential equations are not applicabl

225 namics over space and time, whereas existing models based on differential equations average over spac

226 Here we use empirical models based on eddy covariance data and process-based m

227 The reduced models based on exact QSS, which can be calculated by th

228 diet using adjusted Cox proportional hazards models based on follow-up until 2010.

229 Models based on generalized estimating equations adjuste

230 ructed a series of gene expression inference models based on genes common to both platforms.

231 optimization algorithm is also applicable to models based on genotype likelihoods, that can account f

232 Atomic models based on high-resolution density maps are the ult

233 Models based on in vitro assay data perform better in pr

234 accurate using computer-supported predictive models based on in vivo, ex vivo, and patient features.

235 ed genes in the root and shoot compared with models based on known TF binding motifs.

236 ished and validated air pollution prediction models based on land use, chemical transport modeling, a

237 ation procedure is then used for editing the models based on local variations of the structural assem

238 f the nano-sized probe neglected in previous models based on low-frequency assumptions.

239 Models based on MODIS satellite observations matched the

240 Prediction models based on multiple linear regression (MLR) were bu

241 Interestingly, models based on multiple TFs performed better than singl

242 rk was to develop computational intelligence models based on neural networks (NN), fuzzy models (FM),

243 ANN models based on NMR data showed the highest capability t

244 istent with neural resonance theory and with models based on nonlinear response of the brain to rhyth

245 ional guideline in applying phenomenological models based on observations of single synapses.

246 son of teeth and implants via general linear models based on orthogonal polynomials showed similar re

247 The goodness of fit of models based on point counts ranged between 71 and 92%.

248 , and chemically detailed pyramidal neuronal models based on rat data.

249 Demographic models based on recruitment data from the climate manipu

250 posures were estimated from PM2.5-prediction models based on satellite imagery.

251 Larger outbreaks in dynamic models based on simulated networks occurred especially w

252 However, most murine models based on single gene mutations fail to recapitula

253 PLS-DA models based on spectroscopic data were able to classify

254 The goal of this paper is to compare LUR models based on stationary (30 min) and mobile UFP and B

255 gnitive processes, as suggested by normative models based on the assumption that neural computations

256 Predictive models based on the genetic risk score strongly distingu

257 erged 90 million years ago, were selected as models based on the large amount of genomic and root hai

258 seven X-ray structures, three computational models based on the X-ray structures, molecular-dynamics

259 a user interface that allows users to modify models based on their own experimental conditions.

260 Increasingly sophisticated models based on these principles will help to overcome s

261 However, to reconcile theoretical models based on this mechanism with experimental data, a

262 ntation builds on forming dynamic distractor models, based on continuous integration of distractor-re

263 Several animal models, based on the expression of PrPs carrying mutatio

264 Finally, using the model-based parameters describing neural gain modulation

265 Using the model-based parameters, we accurately explain the sensor

266 We propose a novel, graphical model-based peak calling method, MeTPeak, for transcript

267 A third MR-AC was calculated using a model-based, postprocessing approach to account for bone

268 This work confirmed model-based predictions on the limited relevance of micr

269 sion model and the urgency-gating model, via model-based qualitative and quantitative comparisons.

270 n-like intelligence, including the idea that model-based reasoning is essential.

271 Here we report model-based reconstructions for ancestral flowers at the

272 Without postfiltering, the model-based recovery coefficients (methods 1 and 2) resu

273 re rewards through a process described using model-based reinforcement learning (RL) algorithms.

274 Several theorists have recently proposed model-based reinforcement learning as a candidate framew

275 age-based" and higher level "identity-based" model-based representations of our stimuli and to behavi

276 Both quantitatively and qualitatively, the model-based results agreed well with the pressure and fl

277 cuits perform the computations prescribed by model-based RL remain largely unknown; however, multiple

278 We used a model-based search for CLE domains from 57 plant genomes

279 Model-based searches identified more than 120,000 ChIP-S

280 A model-based sensitivity analysis serves to reveal the mo

281 nd post-impact characterizations, as well as model based simulations, show that significant material

282 ing of sensory information or "choice bias." Model-based simulations and model-based analyses of data

283 assessed and compared the utility of a risk model based solely on nonlaboratory risk factors in adol

284 tes with sub-nanometer precision using a new model-based spectroscopic tomography approach.

285 allmark task for dissociating model-free and model-based strategies, as well as several related varia

286 racy-demand trade-off between model-free and model-based strategies.

287 lignment, and the use of an adaptive mixture model-based strategy to help distinguish true peaks from

288 The proposed probabilistic model-based synapse detector accepts molecular-morpholog

289 ing a dichotomy between the goal-directed or model-based system and the habitual or model-free system

290 The state transition function allows the model-based system to make decisions based on projected

291 ivating the lateral OFC in rats in a classic model-based task and during economic choice.

292 Final model-based TCD velocities were 143 cm/s (95% CI 140-146

293 Classic, model-based theory of land-atmosphere interactions acros

294 Model-based time-series of predictions and prediction er

295 nce does not simply result from a shift from model-based to model-free control but is instead depende

296 This stochastic model, based upon a diffusion approximation, provides an

297 nature of appraisals suggest the need for a model-based valuation framework for emotions.

298 However, resource limitations make plain model-based valuation impossible and require metareasoni

299 Therefore, we investigated model-based versus model-free decision making and its ne

300 han two genomic variables in an integrative, model-based way.