ライフサイエンスコーパス: predictive power

1 t genomic methods were effective in boosting predictive power.

2 sed to reduce the dimensionality and improve predictive power.

3 c variants in schizophrenia with significant predictive power.

4 count the tissue hierarchy leads to improved predictive power.

5 course of ADHD symptoms and may have modest predictive power.

6 ound that our approach exhibited significant predictive power.

7 tions with lower thresholds yielded superior predictive power.

8 hods for identifying such variants have poor predictive power.

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

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

11 being taken to enhance its accessibility and predictive power.

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

13 undance, and sequence similarity contributed predictive power.

14 eated subjects suggesting that they may have predictive power.

15 nificantly elevated biological coherence and predictive power.

16 influence the development of qAOPs and their predictive power.

17 ull expectations of concordance with reduced predictive power.

18 type, and recombination frequency had little predictive power.

19 e to generate numerical features with higher predictive power.

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

21 human malignancies and as such lack clinical predictive power.

22 The other biomarkers had less predictive power.

23 tions that show both biological meanings and predictive power.

24 or a computational method that presents more predictive power.

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

26 eading to overoptimistic assessment of model predictive power.

27 g to alternative time periods suggested less predictive power.

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

29 r hepatotoxicity rely on biomarkers with low predictive power.

30 o be reduced into manageable categories with predictive power.

31 r model and approach: efficacy, tracking and predictive power.

32 methods accounting for SAC reveal quasi-null predictive power.

33 idual ones, might increase prognostic and/or predictive power.

34 e-task multiple kernel learning) in terms of predictive power.

35 t both transient and seasonal changes with a predictive power.

36 of the method can be modified for additional predictive power.

37 generation of pharmacophore models with high predictive power.

38 hese structures have limited explanatory and predictive power.

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

40 tive, but its value can be extracted by ML's predictive power and ability to find trends.

41 core biopsy, which is invasive, has limited predictive power and carries a morbidity risk.

42 ncer biomarkers present variability in their predictive power and demonstrate limited clinical effica

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

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

45 ecursive feature elimination to evaluate the predictive power and importance of different land use ca

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

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

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

49 We find that the start-up network has predictive power and that by using network centrality we

50 However, validation of the PRS predictive power and transferability in other population

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

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

53 Diet and microbiome had the strongest predictive power, and each explained hundreds of metabol

54 ts indicate that substantial improvements in predictive power are attainable using training sets with

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

56 -1ra, PCT, MCP1, and G-CSF) yielded the same predictive power as collecting an additional 16 hours of

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

58 e-level information (DeepSAV+PG) has similar predictive power as some of the best available.

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

60 The limitations of low predictive power associated with empirical modelling may

61 This model obtains significant predictive power (AUC = 0.841).

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

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

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

65 We observed no significant survival predictive power beyond that of overall patient tumor mu

66 al tolerances have been shown to have strong predictive power, but the potential importance of desicc

67 Both approaches had some predictive power, but they were insufficiently accurate

68 This model not only significantly increased predictive power by combining all datasets, but also rev

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

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

71 Finally, we demonstrate the model's predictive power by utilizing the additivity of the driv

72 highly predictive polygenic risk scores, the predictive power can be explained entirely by large samp

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

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

75 a pathway-level analysis provides equivalent predictive power compared to a gene-level analysis while

76 image analysis, with significantly enhanced predictive power compared to hand-crafted radiomics feat

77 he 10 established PTC SNPs showed a stronger predictive power compared with the clinical factors mode

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

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

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 data mapping studies shows an apparent high predictive power, even when predictors have poor relatio

83 igenetic and genomic features and tested its predictive power experimentally.

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

85 hermore, knowledge of mutation frequency has predictive power for downstream cancer, and assays for c

86 insights into drug resistance, increases the predictive power for drug sensitivity, and helps identif

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

88 cts and the plant community have the highest predictive power for flower colouration, followed by mea

89 No other molecules increased predictive power for HCC incidence.

90 a/b, miR-20a, and miR-106a, showing the best predictive power for LNM.

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

92 Combinations of cell-type marker genes had predictive power for neuronal responses across 11 behavi

93 Lower predictive power for non-Europeans was observed, reflect

94 phy/computed tomography (PET/CT) images have predictive power for NSCLC outcomes.

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

96 IK3CA three-gene signature that improves the predictive power for prostate cancer recurrence in patie

97 Increases in cytokine levels had poor predictive power for psoriasis reoccurrence as these inc

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

99 cs and chemistry (i.e., reactivity) to allow predictive power for tailored interface optimization.

100 We found that shape information has strong predictive power for TF-DNA binding and provides new put

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

102 tly from the molecular structure with a high predictive power for the alignability.

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

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

105 from climate data via RDA showed substantial predictive power for trait values in the available globa

106 lysis of the W-P motif in OsIAA11, providing predictive power for understanding the role of this swit

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

108 sponses to environmental changes, along with predictive power gained by developing relationships betw

109 ation of genomic risk scores (GRS) but their predictive power has been modest compared to established

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

111 linical Model, the Combined Model had higher predictive power in both the discovery cohort (mean area

112 Models built from core genes have predictive power in cases where the primary AMR mechanis

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

114 aseline, suggesting that MDD-PRS adds unique predictive power in depression prediction.

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

116 give this combination of concepts a similar predictive power in intermetallic chemistry through the

117 aracterization of elementary steps providing predictive power in reaction development by gaining a se

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

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

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

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

122 , current prediction algorithms have limited predictive power, in part because they were not trained

123 We also show that predictive power increases from age 12 to age 16 and tha

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

125 useful for predicting traits and that their predictive power is not simply due to genetic variation

126 orm tuberculosis treatment response, but its predictive power may be confounded by human immunodefici

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

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

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

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

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

132 The predictive power of a model relies on accurate quantific

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

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

135 Yet, the predictive power of an optimality-based approach was lim

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

137 32 and 64 tips that our method improves the predictive power of bootstrap values.

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

139 lization data to identify and test the joint predictive power of clinical risk factors associated wit

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

141 We tested the predictive power of covariates generated from satellite

142 The predictive power of CT-based lesion water imaging to ide

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

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

145 Our results highlighted the predictive power of DeepCDR and its potential translatio

146 aracteristic analyses revealed that the best predictive power of densitometry values was for the 2-6

147 The predictive power of differentially expressed lncRNAs in

148 logistic regression fit for PTB outcome, the predictive power of discriminating between those who wer

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

150 We quantified the predictive power of each of the retinal layers to distin

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

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

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

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

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

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

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

158 computation have enabled exploitation of the predictive power of higher-order models.

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

160 To compare the predictive power of invasive and noninvasive respiratory

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

162 This study evaluated the predictive power of LAEDVI compared with LAESVI for hear

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

164 unction performance, but does not remove the predictive power of ligand-based features.

165 all, this study validates the importance and predictive power of major phenotypic and environmental f

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

167 or predicting gene expression, and increased predictive power of methylation signals in promoters loc

168 Here, we systematically tested the predictive power of models of DNA accessibility based on

169 We then compare the predictive power of models trained using properties, nor

170 ng additional fitted parameters improves the predictive power of models, and that appropriate choices

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

172 vious studies have demonstrated the superior predictive power of NeoDTI.

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

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

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

176 We speculate that the lower predictive power of our environmental variables in the l

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

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

179 re, a case-by-case comparison shows that the predictive power of our real world data-based model for

180 ariate GWAMAs and in an ~57% increase in the predictive power of polygenic risk scores.

181 The increasing predictive power of polygenic scores for education has l

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

183 straints to AWSEM-Suite greatly improves the predictive power of pure AWSEM structure prediction.

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

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

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

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

188 gaged, problematic and addicted) and (3) the predictive power of socioeconomic markers (education, ag

189 erations related to stroke, which had higher predictive power of stroke volume than the movement comp

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

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

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

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

194 The predictive power of the approach is illustrated by quant

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

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

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

198 iments designed to evaluate the fidelity and predictive power of the computational models reveal the

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

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

201 Statistical significance comparing predictive power of the different parameters was calcula

202 The predictive power of the final model was tested in an ind

203 Addition of CEC significantly improved the predictive power of the Framingham Diabetes Risk Score (

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

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

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

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

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

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

210 h-order-epistatic coefficients decreased the predictive power of the model.

211 We estimated the predictive power of the models that were fitted based on

212 Interestingly, the predictive power of the models was highest for the 1980s

213 ression tested the individual and collective predictive power of the MR contrasts.

214 We then evaluate predictive power of the psychological measurements and f

215 The predictive power of the random forest (RF) built using t

216 These results demonstrate the superior predictive power of the reduced Gompertz model, especial

217 The predictive power of the RRS SOMA was then prospectively

218 sual connectivity measures greatly increases predictive power of the RSFC algorithm (>80% accuracy of

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

220 To compare the predictive power of the signatures obtained by Galgo wit

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

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

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

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

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

226 different species and accordingly assess the predictive power of these different predictors for the i

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

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

229 As a further test of the predictive power of this approach, we apply it to discov

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

231 The predictive power of this method could facilitate the ass

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

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

234 The predictive power of this subtype delineation is confirme

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

236 and bioapatite delta(13)C indicate that the predictive power of trophic relationships, and tradition

237 ata obtained through OCT, and to compare the predictive power of various retinal layers to assess the

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

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

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

241 that could activate at high strains, losing predictive power only upon the formation of shear bands.

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

243 e integrated into structural models that add predictive power or process models that add explanatory

244 ts up to a factor 8; (2) rapidly improve its predictive power (or learning); (3) Consistently achieve

245 tive function abilities are related and have predictive power over adaptive behaviour in both typical

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

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

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

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

250 endent of one another and provide additional predictive power over, and above established predictors

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

252 siblings and find that typically most of the predictive power persists in between-sibling designs.

253 tion of the temporal dimension increases the predictive power: predicted clusters are hit more and sh

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

255 The results show promising predictive power relative to existing survey-based metho

256 hway-level predictors did not offer superior predictive power relative to gene-level models for all c

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

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

259 An excellent predictive power (RMSEP = 0.05%) was obtained with MLR a

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

261 The predictive powers should extend also to amphiphile parti

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

263 iate models of the individual DHIs had lower predictive power than all three combined.

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

265 models, LAEDVI demonstrated equal or better predictive power than LAESVI for HF hospitalization and

266 ts, i.e. polygenic risk scores, showed lower predictive power than polygenic hazard scores with no ev

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

268 ity of first-informed individuals has higher predictive power than that of other standard centrality

269 omarker or specific treatment showed greater predictive power than the all-studies estimate in a meta

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

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

272 We here systematically characterize the predictive power that can be obtained from CDR3 sequence

273 This dynamical viewpoint gives predictive power that is beyond that of the biophysical

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

275 based on feature extraction exhibited higher predictive power, thus highlighting the greater accuracy

276 an cancer, Galgo signatures obtained similar predictive power to a consensus classification method.

277 lts to be sorted and an intuitive model with predictive power to be proposed.

278 gait speed and all covariates had comparable predictive power to comprehensive validated frailty inde

279 non-linear classification models showed good predictive power to distinguish responders from non-resp

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

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

282 While more features might add more predictive power to the neural network, we argue that re

283 l vs fecal) nor molecular ExPEC status added predictive power to these traits, which accounted collec

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

285 estry populations and identified substantial predictive power using European-derived models in a non-

286 the transverse tarsal arch, demonstrate its predictive power using mechanical models of the foot and

287 e DIABIMMUNE dataset, we show an increase in predictive power using our model compared to Hidden Mark

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

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

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

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

292 rtheless, phylogenetic profiling has limited predictive power when analyzing pathways with complex ev

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

294 The model shows high predictive power when tested against an unseen test set

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

296 well-assembled genomes, maintains its strong predictive power with only a minor drop-off in performan

297 how that merging descriptors yields the best predictive power with Random Forest models, often booste

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

299 proach consistently provides explanatory and predictive power with various simulated and experimental

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