ライフサイエンスコーパス: estimation

1 developing a clinical tool for early outcome estimation.

2 of false detections and false positive rate estimation.

3 dimensional echocardiography, and serum BDNF estimation.

4 rmation accessible to participants in number estimation.

5 nd if the parameters were sufficient for the estimation.

6 t nonsignificant using activation-likelihood estimation.

7 ch pipeline's performance on gene expression estimation.

8 nting) using hierarchical Bayesian parameter estimation.

9 sions and 3 T imaging for cortical thickness estimation.

10 line correction of motor actions and sensory estimation.

11 at can be uniquely attributed to probability estimation.

12 e method and the number of SNPs used for the estimation.

13 cation, which led to more accurate abundance estimation.

14 he conventional weight- and gender-based CER estimation.

15 nance polarity of elements affect numerosity estimation.

16 ameters were obtained from published data or estimation.

17 odel, especially when combined with Bayesian estimation.

18 oss and leads to uninterpretable effect size estimation.

19 s dimensions, was assessed using limb length estimation.

20 d in 28 single cells, allowing accurate somy estimation.

21 nious risk model improved perioperative risk estimation.

22 ndards and with population-level performance estimation.

23 m disease association to demographic history estimation.

24 at allow for unbiased class probability (CP) estimation.

25 nd mortality compared with subjective volume estimation.

26 approach that does not require any parameter estimation.

27 or the 5-year number needed to harm (NNH(5)) estimations.

28 a common model for OH radical rate constant estimations.

29 trends, (2) inefficiency in treatment effect estimation, (3) volatility in sample-size distributions

30 amic light absorption dramatically decreases estimation accuracy.

31 We develop NExUS (Network Estimation across Unequal Sample sizes), a Bayesian meth

32 Since motion estimation algorithms are complex, dividing up regularis

33 These results support that accurate force estimation allowing movement is more relevant than stiff

34 Divergence time estimation, ancestral range estimation, and diversificat

35 elimination that maximizes the resolution of estimation and allows for prediction of future and upcom

36 are presented, including data-driven motion estimation and correction for brain studies, abdominal s

37 al cities, and then verified by the interval estimation and corresponding official statistics.

38 osed sparse mCIA achieves simultaneous model estimation and feature selection and yields analysis res

39 l uncertainty and diverging methodologies of estimation and forecasting, leading to important differe

40 pon sequence reversal for identification FDR estimation and further multiplied by performing in silic

41 A perfusion may assist with real-time dosage estimation and help predict response to treatment, howev

42 ate shared between valuation and probability estimation and highlight the additional involvement of d

43 upancy measurements enable protein abundance estimation and infer mechanisms of translation.

44 varying sample sizes pose a challenge in the estimation and inference, as network differences may be

45 -likelihood is the key element for parameter estimation and model evaluation.

46 ng both the objectives of accurate parameter estimation and model selection.

47 ses to climate change are critical for yield estimation and prediction, especially under the increase

48 Targeted maximum likelihood estimation and super learning were utilized to produce a

49 s important challenges in microbiome network estimation, and can be effectively applied to discover v

50 the most important statistics for parameter estimation, and compare the results with existing method

51 Divergence time estimation, ancestral range estimation, and diversification analyses are used to det

52 elatedness between individuals, heritability estimation, and including covariates when testing associ

53 tly impacted the accuracy of gene expression estimation, and its impact was extended to the downstrea

54 an exposition of motion speed and direction estimation, and produces concrete predictions for future

55 Under the lowest estimation, and with GDP and total country population as

56 duct a simulation study to compare different estimation approaches for SSFs and to demonstrate the im

57 It is unclear whether differences in estimations are due to differences in experimental data

58 ects of RNA-seq pipelines on gene expression estimation as well as the downstream prediction of disea

59 lustering, doublet detection and ambient RNA estimation, as demonstrated across a range of challengin

60 rresponding blurred and sharp images for PSF estimation, avoiding the need to perform parameter optim

61 novel method for joint kidney time-activity estimation based on a statistical mixed model, a prior c

62 ological assessment combined with likelihood estimation based on systematic phylogenetic disease brac

63 we employ a novel approach to mutation rate estimation based on the observed genetic variation and t

64 s, false discovery rate control, and minimum estimation bias of the proposed procedure.

65 rare disease assumption for valid risk ratio estimation, but it was later realized that rare disease

66 significant public health benefits and their estimation can help prioritize the case for climate chan

67 Similar estimations can be made for the maximum permissible cell

68 results demonstrate that Bayesian parameter estimation combined with regularization can isolate and

69 f sewage properties and catchment population estimation could improve ES site selection and increase

70 pose the COmpositional Zero-Inflated Network Estimation (COZINE) method for inference of microbial ne

71 y motion characterization using optical flow estimation, descriptive statistics, principal component,

72 we could use regression from a dynamic flux estimation (DFE) with an optional non-linear parameter o

73 , we summarize the current landscape of risk estimation, diagnosis, treatment and prognosis strategie

74 musculoskeletal and joint-space time profile estimations did not correlate significantly with each ot

75 nary Creatinine Clearance (uCrCl) versus GFR estimation (eGFR) by the CKD-EPI formula versus both] is

76 ility) were assessed by means of generalized estimation equations and multilevel logistic regression

77 uses with AOM was analyzed using generalized estimation equations, and their relative contributions u

78 mator, deriving a formula that links the TBR estimation error variance with the CGM recording length.

79 However, estimation errors accumulate over time and it is unclear

80 umol/L [0.45 to 5.54 mg/dL]) and with fewer estimation errors exceeding 30% (6.5% [CI, 3.8% to 9.1%]

81 est results show reliable reference interval estimations even in challenging simulation scenarios, wh

82 re based on the NMA approach allows unbiased estimations even in the case of strong population homoph

83 al uncertainty in transcript-level abundance estimation, even among the most accurate approaches, mea

84 of these cities are almost in their interval estimations except for the overrated Chengdu and the und

85 In every parameter-estimation experiment, the final measurement or the post

86 health records could be used to improve risk estimation for a health system's patients.

87 round is likely to increase accuracy of risk estimation for individuals who inherit a monogenic risk

88 Recognition of simple shapes and numerosity estimation for small quantities are often studied indepe

89 The presented OCT-based NN flow rate estimation framework addresses the need for a robust, de

90 This is consistent with a Bayesian estimation framework where the motor system reduces its

91 five laboratories, we show that ground truth estimation from multiple human annotators helps to estab

92 Regional well-being estimation from social media data seems to be robust whe

93 PV RdRp catalytic state corroborate previous estimations from ensemble pre-steady state kinetic studi

94 revious simulations with similar methods and estimations from experimental perturbations.

95 Based on estimations from rat data, the human effective dose was

96 el (GAM) ensemble model was used to fuse the estimations from the four models by allowing the weights

97 ation, time course modeling, and uncertainty estimation have progressed, mass isotopomer dynamics dur

98 nd fat with echo asymmetry and least-squares estimation (IDEAL) technique.

99 Lastly, our estimations illustrate that typical urban POAs and SOAs

100 work demonstrates a means for efficient dose estimation in (177)Lu-PSMA-617 therapy.

101 Using instrumental variable estimation in a cohort of patients with AF, rivaroxaban

102 Drosophila visual system, improving velocity estimation in downstream motion detectors.

103 biomarkers for reliable disease association estimation in larger WHI cohorts.

104 The cross-validated AUC estimation in RS-I was 0.92 (95% confidence interval [CI

105 ensions call for causal reasoning and effect estimation in social epidemiology that should always be

106 n, following surface-electrostatic potential estimation in the predicted area.

107 nging to select the appropriate TDF for diet estimation in wild populations.

108 From the prediction of curve estimation, in survivor group total CT score increased i

109 on for improved BU granular FFCO(2) emission estimation includes review, assessment, and archive of p

110 Both simulation results and direct estimation indicate that the number of causal common SNP

111 Species tree estimation is a basic part of biological research but ca

112 The objective function estimation is a high-cost procedure that requires severa

113 Because probability estimation is a required component of computational acco

114 Satisfactory cardiac motion estimation is also demonstrated on other data sets, incl

115 sizes both hypothesis testing and enrichment estimation is much needed.

116 Fluorescence lifetime estimation is performed via a pre-trained artificial neu

117 which we refer to here as linear trend-based estimation (LTBE).

118 Connections that contributed the most to the estimation mainly involved the default mode and frontopa

119 95% credible intervals of the proposed joint estimation method (which 'borrows strength' from adjacen

120 nt a new distance-based single-model quality estimation method called QDeep by harnessing the power o

121 e also describe how our proposed pseudo-time estimation method is more accurate in recovering the tru

122 graphs and a novel presence-only phenometric estimation method.

123 ost effectiveness of three common population estimation methods (i.e. non-invasive DNA sampling, came

124 their tight coupling, existing model quality estimation methods do not leverage inter-residue distanc

125 ions that NExUS outperforms existing network estimation methods in this context, and apply it to lear

126 A detailed site-level methane emission estimation model is used to estimate the temporal evolut

127 fect must be kept in mind when applying risk estimation models, which are based on additional genetic

128 s, with the average Dice coefficient between estimation motion and manual segmentation at 0.82-0.87.

129 uting with GPU enables the cone-beam CT dose estimation nearly in real-time.

130 ectly on the same device, giving an accurate estimation of 30h gigahertz for the calorimetric energy

131 ied to dopamine and some other transmitters, estimation of 5-hydroxytryptamine (5-HT; Serotonin) rele

132 Although estimation of age at onset will be an important factor i

133 oped method has been efficiently applied for estimation of analytes in six raw matrices with high rec

134 ive simulations to quantify the error in the estimation of ancestral admixture proportions under vari

135 ubcosmopolitan liverwort genus Lejeunea with estimation of ancestral areas of origin and testing if s

136 e, we define a method for objective function estimation of arbitrary computational problems in gate-m

137 roducible pipeline and allowed for automated estimation of atrial fibrosis from LGE-cardiac magnetic

138 of non-coding somatic variation and expanded estimation of background mutation rates, yet fewer compu

139 and major assay interferences, and (iii) the estimation of bias-free kinetic parameters.

140 Here, we present a new global estimation of BPE obtained by combining field measuremen

141 tering with a polychromatic beam for in vivo estimation of brain amyloid burden.

142 at a macroscopic level can be quantified by estimation of brain and spinal cord atrophy with MRI.

143 visualization, exploration, and uncertainty estimation of cell states.

144 For estimation of cervical cancer mortality, we used the WHO

145 should help to reduce the uncertainty in the estimation of CH(4) emissions from a globally important

146 oup-level comparisons of drug conditions and estimation of classification at the individual level wit

147 model-free Lipari-Szabo based formalism for estimation of conformational entropy (S(conf)), we find

148 on allele frequency information for accurate estimation of contamination rates.

149 mpairment in both mathematical abilities and estimation of continuous quantities such as size, weight

150 g evolutionary framework involving the joint estimation of demographic, selective, and reproductive p

151 RDS may introduce significant biases in the estimation of density/mean degree and transitivity, and

152 a novel simulation based procedure for power estimation of differential expression with the employmen

153 We also propose a new procedure for power estimation of differential expression with the use of a

154 evaluation of spontaneous DSB levels and the estimation of DNA damage induced rather uniformly in the

155 annabinoid reporter assay can be used for an estimation of drug concentrations.

156 ttribution of direct and indirect deaths and estimation of excess mortality are complementary goals t

157 ch "interoceptive self-inference" guides the estimation of expected uncertainty both in ourselves and

158 Accurate estimation of false discovery rate (FDR) of spectral ide

159 the refractive index can be of value for the estimation of fermentation kinetics.

160 Our pipeline provides a fully automatic estimation of fibrosis burden from LGE-cardiac magnetic

161 ameterisation of Earth system models and the estimation of future carbon sink capacity and water bala

162 Future fertility patterns are a key input to estimation of future population size, but they are surro

163 d at an unprecedented pace, and the accurate estimation of gene-level abundances for each cell is a c

164 Our method integrates the estimation of genetic ancestry and DNA contamination in

165 consecutive base triples, hindering accurate estimation of global and local structural parameters.

166 learance of an IV single dose of iohexol and estimation of glomerular filtration rate with creatinine

167 testing of initial case's households enabled estimation of household prevalence.

168 ng can be difficult, posing problems for the estimation of individual reproductive output and overall

169 cking of body, ears, nose, and forehands for estimation of kinematic parameters such as body length,

170 nd verbal autopsy data are mainstays for the estimation of leading causes of death, but both are non-

171 Non-invasive estimation of LT using the gas exchange threshold (non-l

172 The estimation of microbial networks can provide important i

173 Automated estimation of MTV is feasible.

174 Rapid Estimation of Myelin for Diagnostic Imaging provides rob

175 ity, robustness, and clinical value of Rapid Estimation of Myelin for Diagnostic Imaging, a new myeli

176 tricular work and reserve, provided the best estimation of myocardial performance following transplan

177 The estimation of NEPs molecular weight distribution by HPLC

178 e generally; we observed negativity bias for estimation of out-group, anonymized-group and even fello

179 Estimation of pairwise kinship coefficients in large dat

180 The estimation of parameters controlling the electrical prop

181 They also provide opportunities for estimation of precursor-product relationships in species

182 ical calibration, developments regarding the estimation of prediction errors would derive in the calc

183 ipples and might be useful biomarkers in the estimation of prognosis and question of treatment.

184 re tools have been developed to automate the estimation of protein turnover.

185 ce with neural networks that incorporate the estimation of proton density.

186 nary artery occlusion waveform analysis with estimation of R(up) seems to be a valuable technique for

187 lysis methods were further modified to allow estimation of rate ratios or to allow each person to ser

188 obtains higher accuracy than admixture-based estimation of recombination rates.

189 ire further justification to ensure reliable estimation of related disease associations.

190 Estimation of remission incidence and identification of

191 oupled with bioinformatics tools enables the estimation of repeat counts for STRs.

192 Estimation of rho is often difficult due to the lack of

193 In summary, we provide a framework for power estimation of RNA-Seq differential expression under comp

194 -INLA and glmmTMB, we hope to make efficient estimation of RSFs and SSFs with random effects accessib

195 However, estimation of Rt from available data presents several ch

196 We propose a comprehensive solution to the estimation of SARS-Cov-2 mortality from surveillance dat

197 opics, including the genetics of speciation, estimation of selection coefficients, and inference of s

198 nformatics applications, specifically in the estimation of sequence similarity measures to construct

199 in terms of their adulteration detection and estimation of several chemical properties for various co

200 coastal regions infrastructure, an accurate estimation of shoreline erosion is required.

201 plane; Nissl-stained sections were used for estimation of size and form parameters in both, the AC,

202 Sex estimation of skeletons is fundamental to many archaeolo

203 For estimation of specificity, false-positives were obtained

204 ural signals.SIGNIFICANCE STATEMENT Accurate estimation of speed is critical for determining motion i

205 The estimation of steatosis in a liver graft is mandatory pr

206 e establish protein interaction kinetics and estimation of stoichiometries (PIKES) analysis, a system

207 Two recent methods allow for the estimation of structural and functional disconnection fr

208 In conclusion, the indirect estimation of structural connectivity damage successfull

209 We present a method for maximum likelihood estimation of subunits by soft-clustering spike-triggere

210 with Gaussian statistics are widely used for estimation of such latent dynamics and have been success

211 time of radioactive sources and requires the estimation of the amount of energy emitted by the source

212 A-receptor-tetramer model, which permits the estimation of the AMPA-receptor-mediated maximal synapti

213 ematical modeling based on our data provides estimation of the cluster lifetime and the average recru

214 Our approach enables estimation of the concentration of diffusing fluorophore

215 vival probabilities and incorporate explicit estimation of the correlations in survival between age-c

216 strong correlation between the BCG index, an estimation of the degree of universal BCG vaccination de

217 has been developed by means of a data-driven estimation of the degrees of freedom and scaling paramet

218 In this way, a more accurate estimation of the diffusion coefficient of the fluoropho

219 Our results enable a better estimation of the effective magnetic anisotropy of highl

220 Estimation of the effective reproductive number Rt is im

221 Accurate estimation of the epigenetic state has vast medical and

222 which allows for the first time simultaneous estimation of the genetic effect of a single nucleotide

223 f species distribution models for a reasoned estimation of the initial presence of the target species

224 ore, a crucial aspect of cluster sampling is estimation of the intracluster correlation coefficient (

225 simple, clinically applicable tool enabling estimation of the likelihood of obstructive CAD by combi

226 We show that estimation of the marginal risk difference requires an u

227 that DASEV substantially improves parameter estimation of the mixture model and outperforms current

228 maximum prediction accuracy, and allows the estimation of the network dataset potential values throu

229 ir rate and distribution enabled an accurate estimation of the number of connected cells and is sugge

230 ft diffusion modeling (DDM) of behavior, and estimation of the onset and progression of the decision

231 will not, and it should provide an accurate estimation of the patient's absolute risk (i.e., calibra

232 Estimation of the prevalence and contagiousness of undoc

233 method is a robust alternate approach to the estimation of the prevalence of nutrient deficiency with

234 mation immediately to authorities allowed an estimation of the proportion of nondeclared fishing vess

235 ollected from Tor entry nodes, we provide an estimation of the proportion of Tor network users that l

236 The method is validated on an estimation of the proportions of (i) the 78 pure spectra

237 ually develop active disease, complicate the estimation of the SI for tuberculosis (TB).

238 An estimation of the times required to form the loops of ty

239 ing for indoor heat exposure may improve the estimation of the total impact of heat on health.

240 Estimation of the univariate statistic parameters and ge

241 s between candidate models or allow accurate estimation of their parameters.

242 ses in stiffness has the potential to enable estimation of total tumour pressure.

243 Accurate estimation of transcript isoform abundance is critical f

244 h lower than in previous studies and enabled estimation of up-to-date and reliable cancer survival.

245 models based on colorimetric analysis allow estimation of vitamin B(2) concentration in milk.

246 This study provides the first estimation of whole-soil SOC changes under warming and a

247 Joint estimation of X and beta is made possible by a simultane

248 ization (AEM) algorithm, alternating between estimation of X and beta.

249 physical-chemical properties, allowing rapid estimation of y(0) at different weight fractions in PVC.

250 ,130 +/- 20 cal yr B.P., suggesting that our estimation of ~16,560 to 15,280 cal yr B.P. is unsupport

251 Both estimations of changes in stride average metabolic rate

252 However, estimations of changes in stride average metabolic rate

253 imulations and Monte Carlo tightly bound ion estimations of ion-mediated electrostatic interactions.

254 Here we compare estimations of metabolic rate time profiles using a musc

255 four different analyses that provide precise estimations of several foundational confidence-related e

256 Estimations of the relative cost of stance and swing mat

257 Ancestral state estimation on the most complete Cucurbitaceae phylogeny

258 ere we framed the problem as random variable estimation problem and studied the convergence of the es

259 and prior knowledge of compositions, in the estimation procedure.

260 d maximum likelihood and multiple-imputation estimation procedures that permit valid and efficient in

261 ing supplement to current at-risk population estimation procedures; however, each data source has its

262 The spatiotemporally resolved PM estimations produced by the suggested model can be appli

263 ow the unitary Fourier transform-based phase estimation protocol, used namely in quantum metrology, c

264 ologic uptake may considerably simplify TMTV estimation, reduce observer variability, and facilitate

265 ries behaviours such as cycles, but accurate estimation requires reasonable numbers of observations.

266 The derived estimations result in statistically significant ([Formul

267 ed here "manganese-extracting small molecule estimation route" (MESMER), can accurately assess Mn in

268 vessels, uncertainties in maximum air volume estimations, sample-length effects, tissue cracks and sh

269 technique called subharmonic-aided pressure estimation (SHAPE) could reduce risk and enable routine

270 h algorithm to yield an approximate analytic estimation solution using summary statistics only.

271 aken from the posterior distribution of each estimation step; aggregation of uncertainty across age,

272 l data (n = 408) from a 2018 PWID population estimation study in West Virginia were used to examine f

273 Current methods for entropy estimation suffer from a high computational cost, lack o

274 ess stable across cross-validation folds and estimation takes 40 times as long as compared to the pat

275 i-CAM achieves more accurate cell proportion estimations than CAM.

276 Here, we describe a new method for 3D motion estimation that addresses the aforementioned issues.

277 n is thus a viable option for cardiac motion estimation that can still have good accuracy.

278 ovel regularisation layer for cardiac motion estimation that will be applied after image registration

279 building and street-scale FFCO(2) emissions estimation through the atmospheric CO(2) inversion proce

280 y outcomes using targeted maximum likelihood estimation (TMLE) paired with the ensemble machine learn

281 that the inferred repeat ranges provide good estimation to repeat ranges reported in literature from

282 ites, with a consequent drastic reduction in estimation uncertainty; 2) it permits interpolation of b

283 d Potential (ERP) time-course for numerosity estimation under shape and random configurations and fou

284 iently enough to enable false discovery rate estimation via permutation.

285 arm RCTs were reviewed to see if sample size estimation was mentioned in the text and if the paramete

286 Sex estimation was possible in 100% of this burial sample us

287 Using activation likelihood estimation, we conducted a quantitative analysis of func

288 rves analysis and Area Under the Curve (AUC) estimation were performed to assess the diagnostic value

289 where EEG recordings for working memory load estimation were taken from a 3-second retention interval

290 tations (DRMs), subtypes and HIV-1 diversity estimations were completed.

291 ps enable subnanometer-resolution coordinate estimation when complemented with multidimensional chemi

292 kers, but the overall improvement in HF risk estimation when included in a clinical HF risk predictio

293 AM by yielding more accurate cell proportion estimations when markers from partial/all cell types are

294 sceptibility, Infectivity and Recoverability Estimation"), which allows for the first time simultaneo

295 nclude that shape-coding precedes numerosity estimation, which can be improved when the number of ele

296 recision, and reliability of gene expression estimation, which lead to the improved downstream gene e

297 ous applications, such as data-driven motion estimation, whole-body surveys, quick reconstructions of

298 Recent advances in pose estimation with deep learning allows researchers to trai

299 essment of the method for maximum-likelihood estimation with simulation-based models.

300 ere estimated by targeted maximum likelihood estimation, with and without data-adaptive prediction (m