ライフサイエンスコーパス: data analyses

1 , via a simulation study and 2 epidemiologic data analyses.

2 library preparation, sequencing and RNA-seq data analyses.

3 tware and database systems for cross-species data analyses.

4 that hamper proper functional and structural data analyses.

5 ethods are needed to structure the resulting data analyses.

6 d together, which can be important for large data analyses.

7 ormation from PED can be used to boost ChIPx data analyses.

8 ncluded literature reviews and extensive new data analyses.

9 easier and created new tools for preliminary data analyses.

10 erent indicators, detector technologies, and data analyses.

11 ied design,and sampling weights were used in data analyses.

12 lication in different areas of mass spectral data analyses.

13 d logistic regression analysis were used for data analyses.

14 not complete follow-up and were excluded for data analyses.

15 data are a prevailing problem in any type of data analyses.

16 A similar model is envisaged for other NGS data analyses.

17 prospective cohort studies, and multicenter data analyses.

18 had useable data, and were included in most data analyses.

19 fully complete questionnaires were used for data analyses.

20 a concise and retrievable format for future data analyses.

21 e sequence-based PCR (rep-PCR) and web-based data analyses.

22 informatics tools for efficient and accurate data analyses.

23 orted nulls were detected and handled in the data analyses.

24 ptible-infective model motivated by previous data analyses.

25 esults and gain more insights into miRNA-seq data analyses.

26 d, however, and could potentially affect CLK data analyses.

27 or routine use in single-cell RNA sequencing data analyses.

28 ignment is the first step in most sequencing data analyses.

29 analysis of genome synteny and other genomic data analyses.

30 ieved by means of NMR and mass spectroscopic data analyses.

31 ds for trial selection, data extraction, and data analyses.

32 re confirmed by exhaustive NMR spectroscopic data analyses.

33 rackway and render it useable for subsequent data analyses.

34 al Abstract Reporting System for readmission data analyses.

35 rtant pre-processing step for many scRNA-Seq data analyses.

36 he same scripting languages used for primary data analyses.

37 e to rely on different tools to perform such data analyses.

38 ew and synthesis of methods for claims-based data analyses.

39 l genomic analysis by tighter integration of data analyses.

40 for smoking status and study site in pooled-data analyses.

41 nsidered in multiple regression analyses for data analyses (alpha = 5%).

42 ding design; data collection and monitoring; data analyses and archival; and publication of study res

43 In this report we have used a combination of data analyses and computational modelling to investigate

44 Both instrumental data analyses and coupled ocean-atmosphere models indica

45 s that empower users to implement customized data analyses and data views for their particular applic

46 lso how they shed light on the complexity of data analyses and interpretation.

47 ng, case ascertainment, case definition, and data analyses and presentation.

48 rs to apply visualizations to understand how data analyses and queries relate to each other.

49 The statistical engine performs several data analyses and statistical summaries.

50 rigorous data collection, more sophisticated data analyses, and better assessment of management and t

51 at are confirmed in meta-analysis and pooled data analyses, and justifies the imminent launch of the

52 e of PBSCT with BM transplantation, registry data analyses, and the role of the National Marrow Donor

53 orithms, originally developed for microarray data analyses, appropriate for LC-MS data analysis.

54 Implications of these results for data analyses are also examined, and practical guidance

55 y open-source tools for microRNA (miRNA)-seq data analyses are available, challenges remain in accura

56 e effects of imperfect tests in longitudinal data analyses are not as straightforward to anticipate,

57 Examples of data analyses are presented, in which ions that may dist

58 general guidance on the reporting of claims data analyses, as outlined in this article, is important

59 boratory procedure and of the flow cytometry data analyses, as well as clinical validation of BAT as

60 Data analyses based on a set of 21 putatively neutral nu

61 lement activities, and facilitating regulome data analyses by serving as pseudo-replicates.

62 tes the scientific leverage that large-scale data analyses can provide in guiding researchers in an a

63 ing Group study validates that collaborative data analyses can readily be used across brain phenotype

64 e the extent to which global fisheries trade data analyses can support effective seafood traceability

65 is that relationships apparent in aggregated data analyses cannot be assumed to operate at the indivi

66 Here we highlight theory and data analyses concerning limitations on the action of na

67 Simulation and real data analyses demonstrate that our method is accurate, p

68 Real data analyses demonstrate that the proposed method provi

69 Simulations and real data analyses demonstrate that the proposed method provi

70 Simulation studies and real data analyses demonstrate that XP-BLUP adaptively utiliz

71 Data analyses demonstrated that CaMK2 inhibition changed

72 Data analyses demonstrated that EGM-2 treated PDLSCs pre

73 Both simulation studies and real-data analyses demonstrated that our proposed method was

74 ics, protein quantification, and exploratory data analyses driven by the user via customized workflow

75 f iodine supplementation, along with related data, analyses, evaluations, methods development, and su

76 Traditional HRF data analyses focus on comparing the difference in the m

77 Data analyses followed the intention-to-treat principle.

78 In contrast, data analyses for mammalian cardiac injury models indica

79 eptember 1, 2010, and November 30, 2012, and data analyses for the present study occurred between Jan

80 Individual participant data analyses found no significant interaction effects,

81 The lack of longitudinal data analyses from birth to adulthood is hampering long-

82 After the meeting, additional data analyses from large studies were provided to the co

83 Data analyses further demonstrated that force per unit o

84 Crystallographic and docking data analyses have been undertaken using inhibitor compl

85 Recently, however, data analyses have revealed potential pitfalls related t

86 Meta-analyses or pooled data analyses have supported association between ADHD an

87 Multivariate and univariate data analyses highlighted the differences among the samp

88 Data analyses ignored subsequent treatment changes.

89 mission tomography (PET) data at the time of data analyses in November 2012 were studied.

90 ntention-to-treat principle and longitudinal data analyses in the context of long-term follow-up.

91 The authors conducted secondary data analyses in three nationally representative househo

92 rrences to use of sophisticated quantitative data analyses in ways that provoke new insights.

93 Secondary data analyses included 1877 STAR*D participants who comp

94 All selection protocols and data analyses included body mass as a covariate, so effe

95 Data analyses included checks on the internal coherence

96 Data analyses included descriptive statistics and multiv

97 Data analyses included receiver operating characteristic

98 ariables, and modern multivariate methods of data analyses, including correction of observed associat

99 aman spectroscopy combined with multivariate data analyses, including principal components analysis a

100 is designed to meet all basic needs of ChIP data analyses, including visualization, data normalizati

101 methods for next-generation sequencing (NGS) data analyses incorporate information regarding allele f

102 Further, both simulation studies and real data analyses indicate that MultiGeMS is robust to low-q

103 These RNA-Seq data analyses indicate that peripheral nerve injury may

104 Model-mediated data analyses indicate that, relative to copper salts, C

105 VOI-based data analyses indicated robust results for scan duration

106 Functional MRI and functional connectivity data analyses indicated that higher-level brain systems

107 Further data analyses indicated that the dye in the marinopyrrol

108 Survival data analyses is performed to compare different prognost

109 esonance (NMR) spectroscopy and multivariate data analyses methods are applied to the metabolic profi

110 nical classification system, and defined new data analyses needed to refine a classification system.

111 zing the complexity of random assignment and data analyses of a platform trial.

112 eline that automates the quality control and data analyses of ChIP-seq and DNase-seq data.

113 These data are consistent with secondary data analyses of large cardiovascular trials and well ad

114 al computational pipeline to readily perform data analyses of protein-protein interaction networks by

115 The authors conducted secondary data analyses of the National Vietnam Veterans Readjustm

116 The data analyses of the studied mixtures reveal that the LN

117 We performed secondary data analyses of Veterans Affairs intensive care unit (I

118 t screening study of community volunteers to data, analyses of Medicare claims, and recently publishe

119 ial communities are available, metaproteomic data analyses often employ a metagenome-guided approach,

120 Case-cohort data analyses often ignore valuable information on cohor

121 We performed data analyses on 56 samples for which all information wa

122 cts the top significant genes for downstream data analyses or experiments.

123 on clinical impressions rather than rigorous data analyses or expert consensus and none has been full

124 Through both simulation and real-data analyses, our studies demonstrated that the propose

125 Multivariate data analyses (PCA and OPLS-DA) of liver chloroform phas

126 f existing genome browsers with experimental data analyses performed in R.

127 Corresponding data analyses provide gene-specific information, and the

128 combined with the findings of the satellite data analyses, provide strong evidence that cholera epid

129 Initial data analyses relied on descriptive statistics and strat

130 Additional data analyses requested by the reviewers were conducted

131 DIA data is therefore challenging; most DIA data analyses require spectral libraries.

132 r of the sieve used, were considered for the data analyses, resulting in a median particle size of 0.

133 Illustrative data analyses reveal encouraging result of this method i

134 Big data analyses reveal that the set of optimal influencers

135 Multivariate data analyses revealed that 2,3-butanediol, hexanal, hex

136 Data analyses revealed that diabetes promoted a proinfla

137 In general, reports of claims data analyses should include clear descriptions of the f

138 Detailed data analyses show that the major advantage of IonCom li

139 Statistical data analyses showed that the latter two groups were ser

140 Exploratory classical and compositional data analyses showed that the main changes were due to f

141 Kinetic data analyses showed that the nanofilm responds to TNV w

142 Data analyses started on January 31 and finished June 30

143 Modeling and additional data analyses suggest that the balance between the coher

144 Results of registry data analyses suggest that the risk of acute rejection d

145 These data analyses suggest the existence of calcium-independe

146 ever, to achieve such a benefit will require data analyses that fully exploit ordinal or continuous-s

147 hanistic hypotheses and a testing ground for data analyses that link neural computation to behavior.

148 strate via simulation study and several real data analyses that our proposed method can perform as we

149 We demonstrate with simulations and data analyses that the proposed method not only selects

150 In both data analyses, the possible systematic errors due to non

151 With large scale simulation data and real data analyses, the proposed tests appropriately controll

152 For many observational data analyses, the variability in the treatment selectio

153 The tools perform proteomics data analyses; the libraries enable rapid tool creation

154 gth of trials, salient outcome measures, and data analyses to be used (especially in the treatment of

155 , high-throughput sequencing and statistical data analyses to enable parallel measurements of the act

156 he time course of clinical trials and extend data analyses to include sympathetic as well as sensory

157 Data analyses used Cohen's kappa statistic, regression m

158 Recently, microarray data analyses using functional pathway information, e.g.

159 We present three illustrative data analyses using surrogate variable analysis (SVA) an

160 Our comparative data analyses using three datasets from mouse, human and

161 Furthermore, data analyses--using discriminant analysis of principal

162 d visualization tool EagleView to facilitate data analyses, visual validation, and hypothesis generat

163 Using 2-stage individual participant data analyses, we compared 2 common methods of standardi

164 In secondary data analyses, we examined effects of supplementation wi

165 In pooled data analyses, we found significant interaction between

166 reviously published data as well as original data analyses, we show that a sampling-based probabilist

167 Conventional multivariate and compositional data analyses were applied tentatively to investigate th

168 and personnel involved in study conduct and data analyses were blinded to treatment allocation.

169 All data analyses were completed prior to unblinding of the

170 Data analyses were conducted between March 1, 2013, and

171 ber 1, 2011, through September 30, 2013, and data analyses were conducted between May 28, 2014, and M

172 Final data analyses were conducted from February 16, 2015, thr

173 Data analyses were conducted from November 6, 2015, to J

174 n July 21, 1995, and September 11, 1997, and data analyses were conducted in 1999-2001.

175 Data analyses were conducted using generalized estimatin

176 Data analyses were done from March to September 2016.

177 Data analyses were finalized June 24, 2015.

178 Data analyses were initially completed in February 2017

179 ven years but to ensure sufficient power the data analyses were limited to three years.

180 atients, investigators, and those completing data analyses were masked to treatment allocation.

181 een January 1, 2015, and August 5, 2016, and data analyses were performed according to the intention-

182 Study procedures and data analyses were performed at Case Western Reserve Uni

183 Data analyses were performed between December 2015 and J

184 Data analyses were performed between March and November

185 The kinetic data analyses were performed for three different adenovi

186 Data analyses were performed from April 1, 2012, through

187 Data analyses were performed from July 1, 2014, to Decem

188 Data analyses were performed from May 1 through July 1,

189 Data analyses were performed using a computational model

190 Multivariate data analyses were performed using Cox regression.

191 Data analyses were performed using linear random-interce

192 Untargeted data analyses were performed using the comprehensive mea

193 sum, analysis of covariance, and permutation data analyses were performed.

194 Descriptive and comparative data analyses were performed.

195 Exploratory and multivariable data analyses were used, including logistic regression m

196 olymorphisms, facilitating the use of pooled data analyses which may increase power to detect moderat

197 trials but must often rely on observational data analyses, which are less straightforward and more i

198 s in our cohort attained menarche before the data analyses with a mean +/- SD age at menarche of 11.9

199 Here, we combined empirical data analyses with mechanistic model simulations to i) q

200 imulations; additionally, we perform several data analyses with publicly available data and introduce