ライフサイエンスコーパス: analysis

1 ive after inclusion of older patients in the analysis.

2 terminated after a planned interim futility analysis.

3 lyte significantly improved the quantitative analysis.

4 sociated with pro-oncogenic genes at network analysis.

5 rength varied with the spatial extent of the analysis.

6 rm other available transcriptomes in RNA-seq analysis.

7 uld not be obtained by in vitro biochemistry analysis.

8 es and should find broad applications in SMT analysis.

9 whom were included in the intention-to-treat analysis.

10 ly identified by microscopical and molecular analysis.

11 control group provided data for the primary analysis.

12 combining polysome profiling and microarray analysis.

13 0.01) retained significance in multivariable analysis.

14 ding signal intensity histograms and texture analysis.

15 obtained by Andreev reflection spectroscopy analysis.

16 n applied in epidemiology and social network analysis.

17 edies have faced obstacles in production and analysis.

18 lity of the proposed strategy in routine GMO analysis.

19 onding web viewer framework of the performed analysis.

20 r model for GFR using statistical regression analysis.

21 nts in 262 participants were included in the analysis.

22 bjected to transcriptome-wide RNA sequencing analysis.

23 score for aroma and sweetness in the sensory analysis.

24 ios and higher rRNA carryover during RNA-seq analysis.

25 R and Bioconductor were used for data analysis.

26 was a systematic review and meta-regression analysis.

27 ested with receiver operating characteristic analysis.

28 singleton WES with targeted phenotype-driven analysis.

29 ), offers some automatic features in calcium analysis.

30 ng a sample of 1693 individuals for the meta-analysis.

31 the Dystonia Coalition, were included in the analysis.

32 hemotherapy and remained in propensity score analysis.

33 patients with acute ICH were pooled in meta-analysis.

34 dard association analysis followed by a meta-analysis across cohorts.

35 In univariate analysis, age >60 years, radiation dose, bilateral ocula

36 cCIMT) using multivariable linear regression analysis among 1554 African Americans from MESA (Multi-E

37 We developed and performed resistome analysis, an unbiased approach based on RNA sequencing o

38 ly analyzed using a combination of 2-D slice analysis and 3-D visualization and counting.

39 Structural analysis and computational studies of MalA' in complex w

40 UV-Vis spectroscopy, X-ray diffraction (XRD) analysis and Fourier transform infra-red (FTIR) spectros

41 re and replicative cycle, along with genomic analysis and genomic comparisons with previously known v

42 This model agrees with our previous genetic analysis and highlights the consequences of redundancy a

43 sed to evaluate cartilage beyond mere static analysis and may provide the basis for more refined grad

44 most commonly applied for real-time dynamic analysis and measurement of interactions in bio-molecula

45 pledging to make code they produce for data analysis and modeling open source, and are actively enco

46 Here we address this challenge through the analysis and modelling of human brain voltage activity r

47 ed through parameter estimation, concordance analysis and residual analysis based on a multiple linea

48 Relatively small samples in the dyadic analysis and site-specific analysis call for caution in

49 we consider the limitations of this form of analysis and the implications that this may have for bio

50 s STRUCTURE analysis with the Evanno Delta K analysis and visualization of results using STRUCTURE HA

51 h are too small or uninformative for optimal analysis and which potentially contribute to gaps in seq

52 which combines live imaging, real-time image analysis, and automated optical perturbations.

53 expertise in guideline development, evidence analysis, and family-centered care to revise the 2007 Cl

54 er proteomics profiling, integrative network analysis, and functional studies define landscapes of th

55 t multinomial mixture modeling, Markov chain analysis, and mixed-effect models were used to investiga

56 lasma mass spectrometry (ICP-MS), amino acid analysis, and spectroscopy (ATR-IR, Raman).

57 Regression analysis, correlation coefficient analysis, and test-retest validation were conducted.

58 med a comparative transcriptomic and genomic analysis at the level of one single plant cell type, the

59 stimation, concordance analysis and residual analysis based on a multiple linear regression model.

60 On multivariate analysis, baseline total nevus count (adjusted odds rati

61 ciation methods for genome-wide coexpression analysis between each TF and all other genomic genes and

62 ined largely through J-based configurational analysis, but has been found to be incorrect.

63 ic subphases, can be combined with proteomic analysis by mass spectrometry.

64 characterize its effect on labeled proteome analysis by nanoLC-MS(2), and demonstrate proof-of-princ

65 ing trans-synaptic labeling, ultrastructural analysis, calcium imaging, optogenetics and behavioral a

66 les in the dyadic analysis and site-specific analysis call for caution in interpreting qualitative di

67 Here, we performed marker analysis, cell proliferation assays, and genetic lineage

68 accumulation, and data from quantitative PCR analysis closely recapitulated the EdU results.

69 The final analysis cohort included 88 eyes in 3 groups: monthly (n

70 Gervais & Fessler's analysis collapses across two orthogonal dimensions of s

71 Glycan array analysis confirmed selective binding of the CRD to glyca

72 ll functional; (iii) circular dichroism (CD) analysis confirmed the complexation of unmodified and NO

73 ariate and mixed-effects logistic regression analysis controlling for center effect were used.

74 Regression analysis, correlation coefficient analysis, and test-ret

75 Mass spectrometry analysis demonstrated that cytoplasmic LANA isoforms wer

76 Focused bioinformatics pathway analysis demonstrated that IgE activation aligned with p

77 RNA-seq analysis demonstrates differential gene expression in Ls

78 The use of multiple regression analysis demonstrates that FAEE content can be inferred

79 The multi-SNP analysis described here was readily adopted by another l

80 f this energy to power different sensors and analysis devices in a wide variety of in-vitro applicati

81 opted for metabolites-phenotypes association analysis due to the similarity in data structure of thes

82 microscopy (HRTEM), energy dispersive X-ray analysis (EDX), atomic force microscopy (AFM), scanning

83 Q2 was revealed by electrochemical impedance analysis (EIS) and open-circuit potential decay transien

84 Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) PTSD Working Group.

85 copy has been growing as a fast tool to food analysis, especially for detection of low concentrations

86 A Kaplan-Meier survival analysis evaluated survival experience between the risk

87 -NTA-determined (i.e., nanoparticle tracking analysis) exosome concentration analysis, lysing, and su

88 , the authors performed standard association analysis followed by a meta-analysis across cohorts.

89 the LC-MS/MS and quantitative real-time-PCR analysis followed by inhibitor and antibody-blocking ass

90 nd the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the w

91 Sensitivity analysis for bonus payments in the bundled-payment group

92 In this largest-ever GWAS meta-analysis for nicotine dependence and the largest-ever cr

93 s a computational method based on rapid flow analysis for the assessment of FFR.

94 mates of the utility of polygenic risk score analysis for the prediction of Alzheimer disease have gi

95 Functional analysis found that the RNA structure in MYB33 correlate

96 Their "personal regulome" analysis framework reveals chromatin features that may b

97 Prior to analysis, green coffee samples were prepared by microwav

98 On multivariable analysis, >/= 90% resection was associated with longer E

99 Differential gene-expression analysis has allowed us to confirm the relevance of thes

100 In multivariable analysis, higher comorbidity scores and history of smoki

101 Data visualisation and statistical analysis identified significant chemical changes in pet

102 ual cells for whole-transcriptome or genomic analysis in a massively parallel manner with minimal rea

103 tudy highlights the importance of microarray analysis in adults with unexplained childhood-onset epil

104 rature and Z-value commonly used for kinetic analysis in food microbiology.

105 rful alternatives to the standard univariate analysis in genome-wide association studies.

106 be ShootingStar, a platform for perturbation analysis in vivo, which combines live imaging, real-time

107 After a meta-analysis including >300,000 European samples, we identif

108 ; and were genome-wide significant in a meta-analysis including both identification and 4 verificatio

109 We conducted a fixed-effects meta-analysis, including, to our knowledge, the first analysi

110 qPCR analysis indicated that BmAce1 is highly expressed in mu

111 eat relevance, our preliminary toxicological analysis indicates that GEBR-32a is not cytotoxic and ge

112 Wilcoxon rank-sum analysis indicates that Mn contamination consistently oc

113 iomolecules with different properties for MS analysis is advantageous.

114 cle tracking analysis) exosome concentration analysis, lysing, and subsequent internal syntenin quant

115 etween thymus and blood, suggesting that our analysis mainly detects selection for proper folding of

116 tice, the regular approaches for QTL mapping analysis may be adopted for metabolites-phenotypes assoc

117 ith different labels, imaging techniques and analysis methods.

118 reatment using a cost-effectiveness decision analysis model to estimate incremental cost-effectivenes

119 sses of cyclic game models through stability analysis, Monte Carlo simulations and continuous spatiot

120 n groups of strains were extracted from this analysis, namely a group with a low ability to produce f

121 In multivariable analysis, no association was found between TRT and overa

122 In a prespecified secondary analysis, no difference in mortality was found (odds rat

123 Post hoc analysis of (68)Ga-PSMA-11 PET/CT implied a major impact

124 trajectories in HR infants (validated in an analysis of 1,445 infants from representative infant-sib

125 Randles-Sevcik analysis of 10 mM K3[Fe(CN)6] in 0.1 M KCl using the ele

126 A further analysis of 102 hemispheres of in vivo MRI scans (N = 51

127 MATERIAL/Retrospective analysis of 30 histopathologically confirmed cases of XG

128 rmance of this scheme, we performed a cgMLST analysis of 92 newly sequenced genomes, plus an addition

129 Analysis of a contemporary cohort of patients on dialysi

130 A recent analysis of a high-resolution record reveals large orbit

131 etect thousands of metabolites, allowing the analysis of a large fraction of the metabolome and focus

132 Structural analysis of a prototypical Vbeta8.1(+) TCR-H-2D(b)-GAP50

133 y Adult Patient Database and a nested cohort analysis of a single center.

134 Analysis of associations with different definitions and

135 We performed a whole-transcriptomic analysis of blood samples from Malian children with cere

136 of the biochip surface allowed metrological analysis of captured PMPs and revealed that more than 95

137 We undertook translatome analysis of CD8 T-cell activation, combining polysome pr

138 tein purification and large-scale proteomics analysis of cell or tissue lysate for enhanced proteome

139 The aim of this study is to conduct a meta-analysis of cohort studies to assess pooled survival rat

140 powerful tool for the cross-sectional strain analysis of complex 1D nanostructures.

141 A new approach to the analysis of Cu, Fe, Mn and Zn in flaxseed was developed

142 Post hoc analysis of data from the 36-month prospective, randomiz

143 Analysis of detergent-solubilized Hrd1.KI cells indicate

144 itivity of these various surfaces toward the analysis of diverse analytes.

145 Analysis of enriched transcription factor DNA-binding si

146 and efficient approach applicable in routine analysis of flavonoids combining sensitive NMR and HPLC

147 The mimotope microarray was applied to the analysis of fumonisin B1 in spiked maize and wheat sampl

148 Based on the analysis of fundus photographs and HVF tests, 25% of the

149 Analysis of gallbladder bile acid composition showed mar

150 t disease development by integrating in vivo analysis of gene expression dynamics with a reverse engi

151 Computational analysis of gene expression to determine both the sequen

152 Analysis of HIV-1 isolates bearing defined mutations in

153 Quantitative analysis of hypocotyl cell growth in the nek6-1 mutant d

154 Analysis of hypothalamic and neuroendocrine responses to

155 Correlative studies included analysis of in vivo FLT3 inhibition by plasma inhibitory

156 , we combined computational simulations with analysis of in vivo two-photon Ca(2+) imaging data from

157 However, quantitative analysis of IT data has been hindered by the piecemeal d

158 d differentially expressed genes (DEGs), but analysis of KC cultures identified more PP- and PN-decre

159 ed for fingerprinting and linear combination analysis of known XANES reference compounds.

160 Interestingly, histological analysis of lung lesions from Muc4(ko)/NDL mice revealed

161 In the course of a genome-wide analysis of members of a small family of immunoglobulin

162 Furthermore, phenotypic analysis of naturally occurring polymorphic NucS in a M.

163 Analysis of nod-1 sectors suggests that NOD plays a cell

164 Meta-analysis of Observational Studies in Epidemiology guidel

165 termined in a few of these areas, a detailed analysis of p11 expression in the brain is warranted.

166 microfluidic device is developed for in-situ analysis of pesticide concentration detected via metabol

167 In the analysis of published genotype data from the Simons Simp

168 We performed a meta-analysis of randomised controlled trials (RCTs) to asses

169 Meta-analysis of RD3 transcriptional expression across normal

170 he applicability of the developed method for analysis of real samples was evaluated through the deter

171 Using the telomere-specific single-molecule analysis of replicated DNA technique, we found that depl

172 le as 5% deuteration can be distinguished by analysis of SCRS.

173 Analysis of simultaneous multiple patch-clamp recordings

174 Here, we present a genome-wide analysis of single-nucleotide polymorphism (SNP) data fo

175 Phylogenetic analysis of SNAP genes from 22 diverse plant species sho

176 Transcriptomic analysis of sonicated brain supported the proteomic find

177 Analysis of subnetworks surrounding the TFs ORA47, RAP2.

178 Additionally, analysis of symmetric device structures reveals propagat

179 Receiver-operating-characteristic curve analysis of the association between total mucin concentr

180 The AFM analysis of the biochip surface allowed metrological ana

181 The present study provides a detailed analysis of the connectivity and neuronal properties of

182 large fraction of the metabolome and focused analysis of the detectable metabolites.

183 This study reports a comprehensive analysis of the effect of 100 mus electric pulses on the

184 Here we present a theoretical analysis of the Fermi surface of lithium in several rele

185 been investigated by means of a comparative analysis of the frequency generation performance as a fu

186 We report results of stability analysis of the metastable fertile forest state.

187 Gene set enrichment and pathway analysis of the microarray dataset showed enrichment in

188 determine metastatic burden and statistical analysis of the results, as well as provide troubleshoot

189 The authors performed a secondary analysis of the RIVER-PCI (Ranolazine in Patients with I

190 From the analysis of the trajectories, we discover that the poten

191 ysis, including, to our knowledge, the first analysis of the X chromosome.

192 Additionally, analysis of these simulations indicate that the inabilit

193 tate its use as fertilizer, but a systematic analysis of these technologies has not yet been carried

194 se tools open up the potential for automated analysis of this naturally occurring post-translation mo

195 Finally, analysis of transcription factor-binding site motifs of

196 We performed an unbiased analysis of transcriptional heterogeneity in colorectal

197 Analysis of variance was performed to evaluate linear, q

198 Analysis of variance was used for comparison of lipid pr

199 etration of the bone surface and analyzed by analysis of variance.

200 RNA-seq analysis of whole skin identified a larger number of pso

201 he vaccine itself, a technique called 'sieve analysis', one can identify functional specificities of

202 combination with a standardized AP parameter analysis over a wide range of AP waveforms and firing ra

203 y DRIL remaining significant in multivariate analysis (P = .006).

204 her number of alterations in a multivariable analysis (P = 0.019).

205 On multivariate analysis, patients with irregular Z line and patients wi

206 Power analysis predicts that a 1-point difference on this 5-st

207 types using conditional false discovery rate analysis provides increased power to discover genetic va

208 Using a combination of evolutionary analysis, reinforcement learning simulations, and behavi

209 The analysis results show that highly pure, uniform, and mon

210 texture features, store and index images and analysis results, and visualize and explore images and c

211 value for SZ and further validated the meta-analysis results.

212 Data analysis revealed 1062 differentially expressed genes (D

213 Diffusion tensor imaging analysis revealed a significant increase in FA in bilate

214 Promoter analysis revealed an increase in luciferase activity und

215 Principal components analysis revealed distinct clustering of cell types acro

216 The PMF analysis revealed four resolved factors at each site.

217 Bayesian network analysis revealed key driver genes within these modules.

218 This analysis revealed major differences in the immune checkp

219 Gene Set Enrichment Analysis revealed pathways including apoptosis, DNA repa

220 The results from the meta-analysis revealed positive associations between exposure

221 Fracture analysis revealed significant associations between varia

222 Lineage-tracing analysis revealed that descendants of Sfrp5-expressing c

223 Endocytosis analysis revealed that MOFs are internalized by active t

224 The nSSR analysis revealed that the majority (79%) of tea accessi

225 AGO2 RIP-Seq analysis revealed the differential recruitment of a subs

226 Promoter analysis revealed the presence of Zn-deficiency-response

227 Furthermore, single-particle EM analysis revealed, for the first time, the overall archi

228 Metabolomics analysis reveals increased ATP production and improved e

229 Genome-wide transcriptome analysis reveals that lipid biosynthetic enzymes are amo

230 ide chromatin immunoprecipitation-sequencing analysis reveals that LSD1 binding sites overlap signifi

231 PICER is easy to implement with existing SMT analysis routines and should find broad applications in

232 This Single Electron Pair Distribution Analysis (SEPDA) reveals quantitative details about the

233 were analysed in the dose-limiting toxicity analysis set: three at dose level 1 (1 mg/kg), three at

234 A multivariate analysis showed a significant effect of the campaign in

235 Thermogravimetric analysis showed a weight loss of 85.81+/-0.52% and a dec

236 (13)C-flux analysis showed that Pkm2 deletion reduced the flow of g

237 Real data analysis showed that three of six analysed tissues and o

238 Cell subset analysis showed that VMP and adjacent mesenchyme were co

239 Cross reactivity analysis showed the selectivity of detecting cTnT and cT

240 Furthermore, regression analysis shows a positive association between estimated

241 In vivo pharmacokinetic analysis shows that GEBR-32a is rapidly distributed with

242 This prespecified secondary analysis shows that, when added to usual care, liragluti

243 This paper provides the most comprehensive analysis so far of variation in specific EBV genes relev

244 and expression data were analyzed on nSolver analysis software.

245 A common analysis step is to annotate such genomic regions to gen

246 Interspecies meta-analysis suggested interactions between HNF4A and microb

247 The analysis suggests that gene conversion effectively initi

248 r at the base of the trimer, and biochemical analysis suggests that it neutralizes by inhibiting conf

249 PARAllel FACtor (PARAFAC) analysis supported a two-component model of humic-like a

250 implementation of modern detection and data analysis techniques has resulted in marked improvements

251 was analysed using high-throughput proteomic analysis that detects expression of 1129 protein targets

252 Based on multivariable analysis, the risk of primary nonadherence was 16 percen

253 sis in this paper is strongly on exploratory analysis; the more formal statistical properties obtaine

254 ompared with standard of care in the primary analysis, this effect was highly sensitive to the imputa

255 properties is investigated via computational analysis, time-correlated single photon counting studies

256 We restricted our analysis to 34 countries that reported more than 2,000 c

257 We performed multinomial logistic regression analysis to assess the weighting of histologic features

258 We conducted a meta-analysis to compare NO3(-) concentration and load in NT

259 This is the first bivariate GWAS meta-analysis to demonstrate genetic factors with pleiotropic

260 noscale imaging approach with advanced image analysis to detect individual vesicle fusion events with

261 We apply fine-mapping analysis to dissect associations in the human leukocyte

262 We performed a meta-analysis to examine miRNA diagnostic value for SZ and fu

263 We then used cluster analysis to identify patterns of individual differences

264 sed whole-genome sequencing and phylogenetic analysis to investigate the patterns of global spread an

265 We extended our analysis to two studies containing transcriptomics, phos

266 yet standard to combine RNA-centric data and analysis tools with other types of experimental data suc

267 This analysis used all data received at NRG Oncology through

268 The confirmatory analysis using the per-protocol sample (n = 153) failed

269 Multivariate analysis, using all microbial community members, was als

270 d open up new opportunities in transcriptome analysis, virology, and other fields.

271 agnosis for the 65 057 women included in the analysis was 48.5 (11.1) years.

272 Data analysis was conducted from April 15 to December 3, 2015

273 Statistical analysis was conducted from January 1 to June 30, 2016.

274 Material/Retrospective analysis was conducted of 115 consecutive patients with

275 Therefore, a meta-analysis was conducted.

276 RNA sequencing analysis was performed and 263 genes were differentially

277 Data analysis was performed from July to October 2015.

278 Data analysis was performed from June 1, 2016, to September 1

279 Imaging analysis was performed from June 15, 2015, to August 10,

280 The plasma NFL analysis was performed in September 2016.

281 A time-to-event analysis was performed to examine the occurrence of mesh

282 Statistical analysis was performed with the Statistical Package for

283 These results were reinforced when the analysis was restricted to municipalities with more than

284 Receiver operating characteristics analysis was used to determine the probability that indi

285 Survival tree analysis was used to discriminate between high- and low-

286 In this longitudinal analysis, we built a prediction algorithm for global cog

287 Using computational analysis, we describe the structural and photophysical p

288 Using mass spectrometry analysis, we found that VLVs contained viral glycoprotei

289 Based on this analysis, we have created a theoretical model that captu

290 In the combined meta-analysis, we identified 22 loci associated at genome-wid

291 Using genome-wide association analysis, we identify associations between several candi

292 The unpaired t test and chi(2) analysis were used to determine significant differences.

293 on FEV1/FVC levels in the genetic risk score analysis; were associated with gene expression of HHIP a

294 an enhanced fluorescence fluctuation imaging analysis, which employs statistical resampling to measur

295 ti-echo sequence with independent components analysis, which has been shown to have enhanced signal-t

296 Functional analysis with miRNA mimics in cellular models confirmed

297 mplements a pipeline that combines STRUCTURE analysis with the Evanno Delta K analysis and visualizat

298 quisition method for cryo-EM single-particle analysis with the Volta phase plate.

299 ns in bio-molecular studies and cell-surface analysis without the need for labeling processes.

300 This analysis yielded 12 differentially expressed regions wit