ライフサイエンスコーパス: predictive power

1 count the tissue hierarchy leads to improved predictive power.

2 tures of IT ("face patches") did not improve predictive power.

3 human malignancies and as such lack clinical predictive power.

4 The other biomarkers had less predictive power.

5 ound that our approach exhibited significant predictive power.

6 or a computational method that presents more predictive power.

7 ce over previous models, both in content and predictive power.

8 tions with lower thresholds yielded superior predictive power.

9 g to alternative time periods suggested less predictive power.

10 hem, clearly do not have sufficient clinical predictive power.

11 r hepatotoxicity rely on biomarkers with low predictive power.

12 to compare different time series models for predictive power.

13 in feature values may lead to differences in predictive power.

14 overning principle that appears to have good predictive power.

15 hods for identifying such variants have poor predictive power.

16 ted from the climate modes alone in terms of predictive power.

17 c variants in schizophrenia with significant predictive power.

18 ssociation studies (GWAS) including reducing predictive power.

19 kers from female patients with COPD with 78% predictive power.

20 hat our physics-based method has substantial predictive power.

21 ation; however, there are little data on its predictive power.

22 ociated with the largest contribution to the predictive power.

23 networks it has been faulted for its lack of predictive power.

24 bove methods were compared in terms of their predictive power.

25 models of the seismic cycle with potentially predictive power.

26 tion coefficient (CCC) of 0.857 showing good predictive power.

27 ior knowledge can be incorporated to enhance predictive power.

28 ate a regulatory vocabulary with genome-wide predictive power.

29 ithm NetMHCpan-3.0, which demonstrated their predictive power.

30 rimental data, confirming that our model has predictive power.

31 ability, and propose ideas for improving AST predictive power.

32 being taken to enhance its accessibility and predictive power.

33 Au7 hexagons) illustrate this combination's predictive power.

34 undance, and sequence similarity contributed predictive power.

35 eated subjects suggesting that they may have predictive power.

36 nificantly elevated biological coherence and predictive power.

37 influence the development of qAOPs and their predictive power.

38 ull expectations of concordance with reduced predictive power.

39 type, and recombination frequency had little predictive power.

40 e to generate numerical features with higher predictive power.

41 This improves their predictive power across a wide range of stimuli but keep

42 Additional analyses revealed little predictive power across tumor types except for one case.

43 sites of genes, while the HMs exhibited high predictive powers across a wide region around genes.

44 As a test of predictive power, all five BELT hyperensembles recover s

45 demonstrate that our model has considerable predictive power and can be used to predict complex muta

46 ultiple regression model had a high level of predictive power and captured known and unexpected signa

47 Such a descriptor has predictive power and enables effective design of new bif

48 redictor variables did not contribute to the predictive power and eventually weakens the model interp

49 raditional methods might disregard, to boost predictive power and generalization performance.

50 allows us to significantly improve both the predictive power and interpretability of expression prog

51 evious studies have generally shown moderate predictive power and lacked detailed high spatio- tempor

52 ds are superior to FT-NIR method in terms of predictive power and model performance for aflatoxin ana

53 a manner that yields substantially improved predictive power and reveals key nonlinear aspects of co

54 fied recently developed algorithms with high predictive power and robust to variables such as disease

55 esult in refined models with improvements in predictive power and ultimately allow the development of

56 This has strong predictive power, and can be applied to the modeling of

57 ase (CAD) with high test-retest reliability, predictive power, and responsiveness, its use in routine

58 novelty be replaced by a renewed emphasis on predictive power as a characteristic of good science.

59 -1ra, PCT, MCP1, and G-CSF) yielded the same predictive power as collecting an additional 16 hours of

60 tment biopsies were associated with improved predictive power as compared with pretreatment biopsies

61 ologic response (Wilcoxon rank-sum test) and predictive power assessed (area under the curve [AUC] on

62 We investigated whether the variability of predictive power between the dyssynchrony indices can be

63 We show that the disparity in predictive power between these models is related to exce

64 estimates of connection strength have useful predictive power beyond just interareal separation.

65 ical marker studied here provided additional predictive power beyond subjectively rated measures know

66 ure personality traits that have independent predictive power beyond that of IQ.

67 The approach's proven explanatory and predictive power bodes well for the continued growth of

68 i-polygenic score (MPS) approach to increase predictive power by exploiting the joint power of multip

69 We illustrate the model's predictive power by identifying the motor's DNA-binding

70 nted gain in speed but also it shows greater predictive power by validating more targets, compared to

71 We also show in this paper that the model's predictive power can be extended to different gradient p

72 ation, our minimalistic model demonstrates a predictive power comparable to more complex methods, mak

73 ave rarely reached a level of generality and predictive power comparable to physical theories.

74 ue Compliance Mapping System (CRTCMS) with a predictive power comparable to the human hand and useabl

75 tory testing used in CVD risk screening with predictive power comparable with Framingham risks.

76 siology and psychology is so remote that its predictive power disintegrates almost completely through

77 odents; however, this feature showed limited predictive power due to high inter- and intra-animal var

78 re appealing measures do not always increase predictive power due to scale of measurement and since g

79 ed as possible alterations of the NIR method predictive power, due to the variation between samples c

80 s integration will significantly enhance the predictive power, enabling a more accurate assessment of

81 The theory's simplicity and predictive power encourage testing and application in la

82 ans (5 cohorts: 1516 patients) increased the predictive power for CD and arrhythmic events.

83 mixed effects model showed a reasonably high predictive power for daily NO2 concentrations (cross-val

84 The networks provide predictive power for each tissue type regarding gene fun

85 The critical test for a model is its predictive power for empirical data for which the model

86 tection limit substitution provided the best predictive power for estimating PAH concentrations in cr

87 The multivariate models had the best predictive power for fall exacerbations (30.5% variance

88 realistic idea of the developed NIR methods predictive power for future unknown samples and their ap

89 No other molecules increased predictive power for HCC incidence.

90 Such predictive power for how histone methylations are establ

91 en fornix and hippocampal measures and their predictive power for incidence and time of conversion fr

92 ng advice to the working clinician and their predictive power for inferring long term viral eradicati

93 TF expression, and find significantly higher predictive power for integrative networks than for motif

94 ikelihood ratio test, a significantly higher predictive power for LFS and OS became evident for the I

95 ent average VS/fP values provided additional predictive power for likelihood of quitting beyond the s

96 r, the persistence of NEDA over time and its predictive power for long-term prognosis are unknown.

97 Pre-diabetes carries some predictive power for macrovascular disease, but most of

98 al order memory appeared to have the highest predictive power for mild Alzheimer's disease diagnosis

99 that the Potts model is expected to improve predictive power for more variable proteins.

100 mixed effects model revealed reasonably high predictive power for PM2.5 concentrations with R(2) = 0.

101 Importantly, the predictive power for poorer transplant outcome was compa

102 ee-dimensional genome structures have strong predictive power for structural features not directly vi

103 Functional trait composition had a larger predictive power for the ABP than species diversity and

104 reaction energy landscape, gaining important predictive power for the choice of reaction conditions.

105 phylogenetic information has little, if any, predictive power for trait evolution and interaction rat

106 Only attractiveness ratings had any predictive power for voting choices after lateral OFC da

107 hemoglobin concentration (MELD-red) improved predictive power from 0.701 to 0.731 (c-statistics).

108 Unfortunately, their predictive power has been limited by the complexity of t

109 Predictive power improved after stratification into prov

110 ficant but have modest influence in terms of predictive power in a model with political, economic, an

111 ve strength: TF binding achieved the highest predictive power in a small DNA region centered at the t

112 the method demonstrated its state-of-the-art predictive power in ALS survival ranking.

113 We first test and validate EDGE's predictive power in bacteria through a combination of sm

114 nstrate that this vocabulary has genome-wide predictive power in both the mouse and human genomes.

115 We conclude that there is valuable predictive power in collective human judgment, and we di

116 ssion may provide additional explanatory and predictive power in disease risk assessments, leading to

117 The models had high predictive power in enriching known receptor-selective l

118 ization show that our method provides higher predictive power in held, out tests while inducing spars

119 es consistently yielded significantly higher predictive power in most neurons.

120 ed to other syntheses and gives them greater predictive power in the development of new preparations

121 ed assay of only nine non-CG sites maintains predictive power in the discovery cohort (Deltabeta=23%,

122 AMBER force-fields (BSC1 and BSC0OL15) show predictive power in the multi-microsecond timescale and

123 addition, our work may offer explanative and predictive power in understanding why inhibitors of EGFR

124 were stronger, and plant traits had greater predictive power, in mixtures than in monocultures.

125 Increased predictive power is achieved by supplementing these data

126 xicokinetic parameter values with sufficient predictive power is challenging for dynamic estuarine wa

127 Thus, HIA's predictive power is superior to the traditional reliance

128 -MRD negative patients also relapse, and the predictive power MFC-MRD early post-HCT is poor.

129 more reliable in vitro models with a higher predictive power, mimicking the in vivo environment more

130 Results were used to create predictive power models for clinical trials in PPMS.

131 wed that image-derived reference regions had predictive power nearly identical to parameters derived

132 niches, rather than traits, may provide the predictive power needed to forecast biodiversity change.

133 This study assessed the association and predictive power of (18)F-FDG PET-based radiomic feature

134 as to use internal validation to compare the predictive power of a flexible Royston-Parmar family of

135 The predictive power of a majority of neurons reached a plat

136 vival analysis was performed to evaluate the predictive power of a novel meta-signature deduced from

137 m climate change while retaining much of the predictive power of a stable equilibrium.

138 Here, we demonstrate the predictive power of a systems dynamic model in Arabidops

139 We explored the predictive power of a tracked population subsample by re

140 fine structure (XAFS) measurements with the predictive power of ab initio calculations based on dens

141 TD and the scalability of tandem MS, and the predictive power of ab initio molecular modeling to char

142 We experimentally demonstrate that the predictive power of algorithms defining peptide-MHC inte

143 mbinations of mRNAs in BM did not add to the predictive power of any single mRNA.

144 We found that the predictive power of aqueous chemical concentrations was

145 and clinical value to further improving the predictive power of autoantibodies because autoantibody-

146 expression, significantly improving upon the predictive power of average DNA methylation levels.

147 nsider the full breadth, and, above all, the predictive power of big data.

148 We compared the predictive power of cell death imaging using (99m)Tc-dur

149 ly machine learning techniques to assess the predictive power of combining multiple biomarker measure

150 We tested the predictive power of covariates generated from satellite

151 oenvironment and heterogeneity can limit the predictive power of current biomarker-guided strategies

152 unt such temporal dynamics will increase the predictive power of decomposition models that are curren

153 The predictive power of differentially expressed lncRNAs in

154 he present work, in order to investigate the predictive power of DPM, three effect categories, namely

155 of G6PD deficient RBCs and presumably higher predictive power of drug induced haemolytic risk.

156 ms in repeated EEC sessions is high, but the predictive power of EEC settings for the clinical respon

157 This was significantly better than the predictive power of either Acute Physiology and Chronic

158 atory chest excursions, and investigated the predictive power of ETA in survivors of acute myocardial

159 Moreover, the study demonstrates the predictive power of first-principles based kinetic model

160 To improve the predictive power of first-principles calculations, there

161 Cox regression was used to analyze the predictive power of foot self-care behaviors.

162 seizure forecasts, and demonstrates that the predictive power of forecasting models is improved by ci

163 The predictive power of FunFHMMer has been validated on a se

164 ase to the community so they can compare the predictive power of gene signatures or use these in gene

165 on specifying the stoichiometric matrix, the predictive power of genome-scale models equally depends

166 At a large spatial scale, we tested the predictive power of geographic structure and phenotypic

167 hosphoprotein data sets greatly improved the predictive power of GRNs.

168 The risk predictive power of high-sensitive cardiac troponin T ch

169 Notably, the survival predictive power of individual MCF pathways strongly cor

170 To compare the predictive power of invasive and noninvasive respiratory

171 However, the predictive power of iPSC-derived cardiomyocytes as a val

172 silico modeling presented here emphasize the predictive power of large scale integrative approaches t

173 Discordance analysis compares the predictive power of LDL-C and non-HDL-C to apolipoprotei

174 Kalman filter for state estimation with the predictive power of logistic regression to identify OAG

175 The predictive power of MD/FEP was significantly better than

176 Comparison of the marginal predictive power of MDS ancestral dimensions and self-re

177 adicals and demonstrates the versatility and predictive power of MPM, an important new tool for the d

178 rovide the ability to more formally test the predictive power of neuroimaging data.

179 erall, this investigation highlights the (i) predictive power of nonadiabatic quantum treatments of p

180 However, the predictive power of nucleic acid-ligand scoring function

181 Finally, we validated the predictive power of our analysis by showing that cAG is

182 l including: significant improvements to the predictive power of our functional families (FunFams); t

183 s responses in budding yeast demonstrate the predictive power of our method.

184 ffects of random or adversarial noise on the predictive power of our model.

185 and evidences from literature, implying the predictive power of our proposed method.

186 The predictive power of PD was only slightly attenuated by a

187 The limitations in the predictive power of pH-partition theory arise because it

188 Furthermore, bMTV improved the predictive power of pre-ASCT PET.

189 EP as a biophysical feature can improve the predictive power of quantitative binding specificity mod

190 ed techniques and significantly improves the predictive power of rank-based aggregations.

191 imate data did not significantly improve the predictive power of seasonal autoregressive models.

192 We compared the Abeta(+) predictive power of sMRI-BAS to those of apolipoprotein

193 Amyloid beta positivity (Abeta(+) ) predictive power of sMRI-BAS was validated on an indepen

194 mortality stratification was Tw Pdi, but the predictive power of sniff nasal inspiratory pressure was

195 ons that seek care are needed to improve the predictive power of such approaches.

196 However, the accuracy and predictive power of such models is dependent upon the br

197 e of the identified variable subsets and the predictive power of such subsets.

198 cardiovascular risk, and differences in the predictive power of systolic, diastolic, and pulse press

199 In this work, we systematically evaluate the predictive power of temporal transcription expression pr

200 However, the predictive power of temporal warning signals is limited

201 The predictive power of the algorithm on fully base-paired d

202 ion and growth behavior, and demonstrate the predictive power of the approach in terms of the samples

203 The predictive power of the approach is illustrated by quant

204 The predictive power of the approach promises to streamline

205 or remains unchanged) enlarging the overall predictive power of the approach.

206 The predictive power of the assay for in vivo efficacy is de

207 Our results demonstrate the prognostic and predictive power of the CES, suggest a role for centrome

208 iciently guiding synthesis and enhancing the predictive power of the computational tools through expa

209 on, in a significant increase in the overall predictive power of the data.

210 The predictive power of the HBsAg level for HCC was analyzed

211 n microarrays consistently provided the best predictive power of the individual profiling data sets;

212 beling followed by MS markedly increased the predictive power of the integrative modeling strategy en

213 "stromal signatures," IPI, and added to the predictive power of the IPI.

214 Moreover, the poor predictive power of the KDPI for adult donors appears to

215 At this point, the predictive power of the macronutrients for energy intake

216 the first-level model increased the overall predictive power of the model from 28% to 57% [F(1,11) =

217 iptomics and DNase-seq data and assessed the predictive power of the model in six gold standard datas

218 ing the overall log likelihood chi(2) of the predictive power of the multivariable model containing G

219 nships between the genes and to estimate the predictive power of the networks through which they inte

220 These findings highlight the true predictive power of the OnGuard model in providing a fra

221 The following article addresses the predictive power of the OnGuard model to generate unexpe

222 The predictive power of the RRS SOMA was then prospectively

223 The aim was to investigate the predictive power of the rs12979860 IL28B SNP for a respo

224 We investigated the predictive power of the selected biomarkers to identify

225 The predictive power of the SNP for response or side effects

226 To increase the predictive power of the supervised learner, the scatteri

227 We show that the predictive power of the tracking sample varies nonlinear

228 We demonstrate the predictive power of the wild-type dynamics fingerprint t

229 d external effectors that determine and have predictive power of their type and magnitude.

230 d the X-ray structural data, demonstrate the predictive power of theory and its insight, which can po

231 multiple regression analyses to estimate the predictive power of these ancestral dimensions.

232 outline several ways to further improve the predictive power of these data and we quantify the loss

233 The importance and predictive power of these genetic features were confirme

234 Furthermore, the strong predictive power of these models suggests their usefulne

235 ng peptides by in silico algorithms, but the predictive power of this approach is unclear.

236 Further examination of the predictive power of this cutpoint on other health outcom

237 We demonstrate the parameter-free predictive power of this model as a function of the copy

238 an the starting sequences, demonstrating the predictive power of this model.

239 diverse data types, and we demonstrated the predictive power of this network for complex phenotypes.

240 The predictive power of this relationship is comprehensively

241 We assessed the predictive power of this test in the comparison of erlot

242 rk results for chemical theory and probe the predictive power of trends in the periodic table.

243 We then compared the predictive power of two different models with or without

244 nsional prediction illustrates the potential predictive power of using a three-dimensional model appr

245 We estimated the predictive power of variables as the decline in pseudo-R

246 A separate analysis of the predictive power of vmPFC on behavior indicated that eve

247 t this new notion substantially improves the predictive power of widely used interaction models.

248 QSAR developed with expert judgment, and the predictive powers of the models are found to be similar.

249 This leap in predictive power offers better opportunities for genome-

250 normal-appearing white matter has consistent predictive power on brain atrophy and neurological disab

251 wth in upstream technology fields has strong predictive power on future innovation after 1995.

252 oes not necessarily correlate with a model's predictive power or correctness.

253 e an overarching framework with quantitative predictive power over cell size in bacteria.

254 arabolic soil moisture functions can improve predictive power over similar models with asymptotic fun

255 that panels may have superior diagnostic and predictive power over single, candidate biomarkers.

256 portant economic components-had questionable predictive power over the 20th century.

257 ds is key to their prospective applications, predictive power over these structural factors remains e

258 logy-based models provides equal or improved predictive power over traditional process-model or empir

259 and immunocompromise exhibited the greatest predictive power (p < 0.0001) for increased mortality ri

260 city to the model significantly improved the predictive power (P<0.0001) in the younger cohort but ha

261 pected under the null hypothesis assuming no predictive power (p<0.01, both samples).

262 The CR/KSE model shows remarkable predictive power, predicting rate constants to within a

263 ze parameter count while maintaining maximum predictive power provide insight into the essential degr

264 om healthy subjects with 72% cross-validated predictive power (Q(2) = 0.72).

265 steps in the delivery process although their predictive power remains limited.

266 e overall finding that these models lack the predictive power required to translate preclinical effic

267 CRISPR-UMI boosts the predictive power, sensitivity, and information content o

268 The predictive powers should extend also to amphiphile parti

269 but it has proven difficult to improve their predictive power significantly beyond that of simple, mo

270 rence showed agreement between methods, with predictive power similar to that of BMI to predict fat m

271 dicate that multi-domain modeling has better predictive power than comprehensive analysis of variable

272 e functional tests, and (ii) displays higher predictive power than in silico models of prediction.

273 cluded all feature trajectories yielded more predictive power than one that included any single featu

274 ing few parameters with significantly higher predictive power than previous models.

275 binding specificity model that has superior predictive power than the one based on a regular one-sit

276 The cognitive GPS yielded stronger predictive power than the psychiatric GPS in our UK-repr

277 tationally tractable model with considerable predictive power that may be utilized to investigate whe

278 ements under external driving forces, having predictive powers that surpass those of the normal modes

279 dividuals with epilepsy, observing up to 80% predictive power through use of receiver operating chara

280 ial data from an individual can increase its predictive power thus aiding the interpretation of NIRS

281 tools exist, very few demonstrate desirable predictive power to be useful in clinical decision-makin

282 emonstrated that the extended model has good predictive power to estimate the diagnostic parameters a

283 n complexities, and also demonstrates strong predictive power to infer pain ratings, including readou

284 generate LD retention, these models have low predictive power to simulate the behavior of ENPs that p

285 t the multimedia model results have a higher predictive power to simulate varying field concentration

286 the majority of cases, telomere length adds predictive power to that of age, although it was not nea

287 the strict criteria for a BoA, but does add predictive power to that of chronological age.

288 acking density, but it was comparable in its predictive power to the best structural flexibility meas

289 Finally, we compared the predictive power using 18.5 years of disease history to

290 er central corneal thickness can enhance the predictive power using the composite risk model.

291 racy was tested in an external test set, and predictive power was assessed with equivocal patients.

292 Predictive power was confirmed in a blind test set of 60

293 s were derived from training cohorts and the predictive power was evaluated using independent test co

294 The best predictive power was obtained in the full model among wo

295 The predictive power was similar to the TC model (IQ-OR, 1.4

296 iding non-redundant information and enhanced predictive power when prioritized and filtered.

297 frequency and beatquency bands with optimal predictive power, which further improved the AUC for bea

298 solution bisulfite sequencing and has better predictive power with respect to a reference than window

299 The latter also exhibited the highest predictive power, with excellent prediction scores (>/=8

300 Notably, PigMatrix achieved this level of predictive power without training on SLA binding data.