ライフサイエンスコーパス: data base

1 2011 were identified in the National Cancer Data Base.

2 1, 2005, and reported to the National Cancer Data Base.

3 women was identified in the National Cancer Data Base.

4 December 31, 2011, using the National Cancer Data Base.

5 selected from the 2006-2011 National Cancer Data Base.

6 athology and reported to the National Cancer Data Base.

7 f hnRNP A18 mRNA targets than in the UniGene data base.

8 005 were identified from the National Cancer Data Base.

9 ed 52-kDa protein in the T. denticola genome data base.

10 time were examined using the National Cancer Data Base.

11 015 were identified from the National Cancer Data Base.

12 odels, relying on a very sparse experimental data base.

13 ic models rely on a very sparse experimental data base.

14 cer from 2004 to 2013 in the National Cancer Data Base.

15 ited States reporting to the National Cancer Data Base.

16 a with interaction information from existing data bases.

17 ucted using the CINAHL, Medline and PsycInfo data bases.

18 From the National Cancer Data Base (1985-1998), 52,173 patients underwent surgery

19 0-18 years) with WT from the National Cancer Data Base (1985-2001) were assessed for nodal evaluation

20 From the National Cancer Data Base (1985-2004), patients were identified who unde

21 Using the National Cancer Data Base (1995-2005), 1,228,071 patients were identifie

22 ith rectal cancer within the National Cancer Data Base (2003 to 2005).

23 ger than 80 years within the National Cancer Data Base (2003-2010).

24 der cancer patients from the National Cancer Data Base (2003-2012) treated with chemotherapy and/or c

25 The national Cancer Data Base 2004 to 2014 was queried for patients with pT2

26 LNB were identified from the National Cancer Data Base (2004-2010).

27 I to III colon cancer in the National Cancer Data Base (2004-2012).

28 ion and esophagectomy in the National Cancer Data Base (2006-2012).

29 out induction therapy in the National Cancer Data Base (2010-2012) were evaluated using multivariable

30 From the National Cancer Data Base, 243,103 patients who underwent surgery for no

31 From the National Cancer Data Base, 940,718 patients from approximately 1430 hosp

32 2010, and identified via the National Cancer Data Base, a large observational database, were included

33 d 2003 to 2005 data from the National Cancer Data Base, a national hospital-based cancer registry, to

34 lished between 2010 and 2015; from 5 disease data bases accessed in 2015; and from 79 reports, 73 of

35 o large consortium studies using the summary data-based adaptive rank truncated product method to exa

36 uncomplicated hypertension by extrapolating data based almost entirely on the conventional beta-bloc

37 n of individually identified neurons, and EM data-based analyses of synaptic organization.

38 h a number of other implementations for omic-data-based analyses.

39 Data base analysis indicates that human Set1A protein sh

40 This National Cancer Data Base analysis was performed to determine the potent

41 American College of Surgeons National Cancer Data Base and explicitly reviewed medical records from 2

42 010 were identified from the National Cancer Data Base and stratified by use of PORT (>/= 45 Gy).

43 ng methods (literature review-derived, study data-based, and a Bayesian method that combines prior kn

44 ights, literature review-based, a posteriori data-based, and weights based on Bayesian analysis) were

45 008) versus 0.816 (0.012) for the structured data-based approach.

46 d as an outlier only with the administrative data-based approach.

47 lth record system compared with a structured data-based approach.

48 an affordable size, several topological and data-based approaches are used.

49 Here, we combine data-based approaches with chemistry-dependent problem f

50 n to February 2016 to identify peer-reviewed data-based articles.

51 program's knowledge of organic chemistry and data-based artificial intelligence routines are augmente

52 veral micro RNAs (miRs) are suggested by the data base as possible candidates for targeting IRS-1.

53 We sought to develop a data-based assignment for exception points for patients

54 By mining DNA microarray data bases at GenBank, we identified up-regulation of me

55 nalysis of genome and expressed sequence tag data bases at the turn of the millennium unveiled a new

56 In this work, we used structure-based and data-based Bcl-2 interaction models to find new BH3-like

57 Search of our echocardiographic data base between 1993 and 2007 yielded 756 patients wit

58 r CRT were identified in the National Cancer Data Base between 2003 and 2011.

59 ntent were identified in the National Cancer Data Base between 2004 and 2013.

60 lete data were identified in National Cancer Data Base between 2010 and 2011; 4309 patients had OPD a

61 Many SNP data-based CNV callers are available, however, the false

62 ng marker as the first steps to developing a data-based consensus on the biochemical diagnosis of vit

63 ers of biological pathways, and expansion of data bases containing information about interactions of

64 gs; acting at scale; reaching those in need; data-based decisionmaking; and building strategic and op

65 Data-based demonstration of this metric is unavailable a

66 All patients in the National Cancer Data Base diagnosed with rectal cancer from 1998 to 2010

67 Interpretation of the SF6 data-based estimate is limited because of a mesospheric

68 Our results represent the first extensive EC data-based estimates of ecosystem T permitting a data-dr

69 Data-based estimates of the ocean carbon sink from [Form

70 Given this model, we propose a data-based estimation of optimal window size based on Ak

71 Thus far, data-based evaluations of emergent ecosystem responses t

72 ithin the intervals found in the nutritional data base for dry-cured ham.

73 rious honey samples, as well as to compile a data base for radioactivity levels in that region.

74 Results from a strongly data-based forest simulator confirm these expectations.

75 We show that this data-based form of feedback inhibition, which is softer

76 Our study, for the first time, provides the data-based foundation to demonstrate the importance of a

77 Data from the National Cancer Data Base from 1985 through 2003 were examined for demog

78 nts with colon cancer in the National Cancer Data Base from 2003 through 2010.

79 nt complete resection in the National Cancer Data Base from 2003 to 2011, stratified by adjuvant ther

80 s with stage IA NSCLC in the National Cancer Data Base from 2004 to 2015 who underwent "early" SBRT (

81 tal esophageal cancer in the National Cancer Data Base from 2006 to 2011 were identified using multiv

82 We built a data-based geospatial model that we used to estimate the

83 Using data-based geospatial modelling, we investigated whether

84 nd all searches extended to the year of each data base inception.

85 A search of the entire UniGene data base indicates that the hnRNP A18 motif is also pre

86 a stochastic puff model and a single-channel data-based IP3R model, we establish the dependencies of

87 A searchable data base is provided with full data comprising complete

88 Raw data-based iterative reconstruction yielded equivalent s

89 antitatively compared with an administrative data-based least absolute shrinkage and selection operat

90 earch through administrative and health care data bases linked to biobanks.

91 ional FCDB, using web-based food composition data base management software following EuroFIR standard

92 Our data-based mathematical model quantitatively describes V

93 The generated data base may serve those working with other human epith

94 Summary-data-based Mendelian Randomisation analysis of the eBMD

95 In this study, we used summary-data-based Mendelian randomization (SMR), a method devel

96 nomic, quantitative trait locus, and summary data-based mendelian randomization analyses.

97 We applied summary-data-based Mendelian randomization to integrate ADHD and

98 We subsequently used summary-data-based Mendelian randomization to investigate if the

99 colocalization analysis (moloc) and summary data-based Mendelian randomization to systematically ann

100 Importantly, both PrediXcan and summary-data-based Mendelian randomization/heterogeneity in depe

101 We introduce a data-based method for choosing the cutoff that maintains

102 research, and compare it to previous nuclear data-based methods through extensive simulations.

103 Data base mining revealed 12 candidate NST genes in the

104 The data-based model development revealed several biological

105 that the predictive power of our real world data-based model for diabetes-related chronic kidney dis

106 Here, we solve this problem by developing a data-based, model-independent method of partial cross ma

107 Using experimental data-based modeling, we focus on the fundamentals of met

108 compared small angle x-ray scattering (SAXS) data-based models and limited proteolysis profiles of so

109 l of the HAMP1-5 protein inside experimental data-based models showed how two chains of HAMP1-5 are e

110 e the information, we constructed two simple data-based models that can predict affinity and specific

111 In these data-based models, interindividual variability was quant

112 with clinical data of different MR- and PET-data-based motion correction strategies for integrated P

113 heir cancer diagnoses to the National Cancer Data Base (NCDB), and the cancer diagnoses at these hosp

114 Using the National Cancer Data Base (NCDB), we assessed OS as a function of time b

115 Using the National Cancer Data Base (NCDB), we examined patients who received cura

116 ies were identified from the National Cancer Data Base (NCDB, 1985-2005) and the Surveillance Epidemi

117 es) were identified from the National Cancer Data Base (NCDB; 1998-2006) and from SEER 1988-2006 data

118 ancer hospitals by using the National Cancer Data Base (NCDB; 2004 through 2005).

119 Open-data global data bases now exist on animal migration, species distri

120 We used a world-wide data base of 2339 feeding innovations recorded in the li

121 tion on Delta(13)C were stronger in a global data base of foliar Delta(13)C samples than observed in

122 al user interface, together with an in-built data base of yeast and Escherichia coli transcription fa

123 tem cells, and to compare them with existing data bases of gene expression profiles of hair follicle

124 using whole-genome sequencing and imputation data (based on 1000 Genomes Project and Haplotype Refere

125 mplementations for DNA sequencing read count data (based on a Negative Binomial model for instance) a

126 e collected demographic and disease activity data (based on the Pouchitis Disease Activity Index) and

127 Diffusivity was extracted from experimental data based on "regular regime approach".

128 We evaluated prediction of gene expression data based on 133 studies, sourced from a combined total

129 Furthermore, molecular data based on 16S rRNA gene sequencing and multilocus se

130 ned evaluation on simulated and experimental data based on 83 previously sequenced autotetraploid pot

131 egative binomial distribution, and in paired data based on a beta-binomial distribution.

132 tical methods for the analysis of microbiome data based on a fully parametric approach using all the

133 gulator networks upstream of gene-expression data based on a large-scale causal network derived from

134 4 Bayesian methods for imputing the missing data based on a missing-at-random assumption: multiple i

135 cation of differential expression in RNA-seq data based on a negative binomial distribution, and in p

136 ally coherent structures from DNA microarray data based on a novel clustering algorithm EP_GOS_Clust.

137 ted the reports by the completeness of their data based on a ranking system using five criteria: samp

138 al methods and a statistical analysis of the data based on a recent theoretical model that predicts t

139 ORAMICS, provides a tool to help analyze the data based on a researcher's knowledge about the sample.

140 n method for prediction from high-throughput data based on a set of the paired measurements.

141 e availability of a systematic collection of data based on a small number of parent molecules illustr

142 a semi-parametric simulation that generates data based on actual RNA-seq experiments with flexible c

143 nalysis methods that filter sequence homolog data based on alignment score cutoffs, PSAT leverages ge

144 els via resampling simulations, which models data based on allele frequencies.

145 estimating inbreeding coefficients from NGS data based on an expectation-maximization (EM) algorithm

146 However, only sparse data based on an objective reference test are available,

147 For illustrative purposes, we used simulated data based on an observational study of the relation bet

148 o detect circRNAs from rRNA-depleted RNA-seq data based on back-splicing junction-spanning reads, com

149 egrative analysis of The Cancer Genome Atlas data based on Boolean implications, if-then rules that i

150 We applied these models to ChIP-Seq data based on CD4+ T lymphocytes.

151 We use simulated sequence data based on coalescent models to show that our permuta

152 eassessing previous C. pneumoniae microarray data based on codon content, we found that upregulated t

153 age analysis approach for multispectral CARS data based on colocalization allows correlating spectral

154 by cross-linkers and combined with existing data based on crystallography (Protein Data Bank, PDB) c

155 is and the use of only 2 years of postpolicy data based on data availability.

156 Experimental data based on dominant-negative approaches suggest that

157 olved spatial and temporal influenza disease data based on electronic medical claims to explore the s

158 rmation from single-cell snapshot expression data based on expression profiles of 48 genes in 2,167 b

159 approach for an integrated analysis of these data based on feature extraction of ChIP-Seq signals, pr

160 stimated using microenvironmental monitoring data based on field measurements.

161 we present an approach to filter interaction data based on gene expression levels normalized across t

162 surgery for all countries without available data based on health expenditure in 2012 and assessed th

163 zing organelle behavior in live cell imaging data based on hidden Markov models (HMMs) and showed tha

164 tegrated miRNA, mRNA, and protein expression data based on high throughput analysis of primary tropho

165 otyping data, single nucleotide polymorphism data based on high-throughput sequencing (HTS) and expre

166 When stratifying the data based on histological subtype, the papillary RCC su

167 Analysis of paired and censored data based on IE GFR showed that 62.2% of G3 patients de

168 voltage-clamp, AP, and Ca(2+) concentration data based on in silico analysis.

169 modeling approaches using unique, long-term data based on in situ observations of predator, prey, an

170 rd, since for most tumor studies, validation data based on independent whole-exome DNA sequencing is

171 st likely viral candidate in the metagenomic data based on its representation in symptomatic sea star

172 ute and test a heritability measure for such data based on linear and generalized linear mixed effect

173 ons (CNA) from cancer whole exome sequencing data based on Log R ratios and B-allele frequencies.

174 Finally, computed data based on lowest enthalpy pathways provide poor desc

175 We linked data based on matching for sex, date of birth, hospital,

176 We assigned meteorologic data based on maternal residence at birth, summarized un

177 election method for temporal gene expression data based on maximum relevance and minimum redundancy c

178 t in agreement (-1.2% lower on average) with data based on mercury vapor pressure measurement results

179 These are the first reported data based on more than 100 DPTs with antineoplastic and

180 ween SIE and spectral deconvolution of GC/MS data based on multiple fragmentation patterns per homolo

181 de a heretofore unrealized depth of sequence data based on multiple technologies.

182 Because data based on national population samples are unavailabl

183 Genomic data based on next-generation sequencing technology are

184 analysis that is designed for heterogeneous data based on non-negative matrix factorization.

185 Data based on parent reports from 2009-2010 indicated id

186 licitly model the underlying distribution of data based on particular assumptions.

187 ght the limitations of reported national STR data based on passive surveillance and the need to imple

188 on of high-quality, automated HGT prediction data based on phylogenetic evidence has previously been

189 algorithm to derive a representation of the data based on positional prefix arrays is given, which i

190 (SFMs) can successfully predict synthesized data based on presumed stock-recruitment relationships,

191 val recessions, recent articles still report data based on previous outdated systems.

192 All selected studies provided data based on professional assessments of periodontal st

193 Analyses of both real data and simulated data based on published genetic models show the effectiv

194 Using simulated SNP data based on real data from the International HapMap Pr

195 th meteorologic and air pollution monitoring data based on residential zip code.

196 erences, and risk ratios from complex survey data based on risk averaging and SUDAAN (Research Triang

197 works through user-driven filtering of input data based on sample tissue type.

198 e simplest hypothesis that describes the FCS data based on sampling and signal limitations, naturally

199 n adaptive approach to managing experimental data based on semantically typed data hypercubes (SDCube

200 erence structure, ShaKer predicts reactivity data based on sequence input only and by sampling the en

201 Browse-based organization of catfish genomic data based on sequence similarity with zebrafish chromos

202 timated values are extrapolated from low P-T data based on simple empirical thermal transport models.

203 Using previously published structural data based on solid-state NMR analysis, we verified the

204 ng multiple competing models to describe FCS data based on temporal autocorrelation functions.

205 ition to existing methods for searching gene data based on text retrieval or curated gene lists.

206 e error rates for next-generation sequencing data based on the assumption of a linear relationship be

207 Detailed analysis of the experimental data based on the enhanced Fourier law (EFL) demonstrate

208 sulting method is first applied to simulated data based on the haplotypes and their associated freque

209 rge the call rate by combining the simulated data based on the inferred genotype clusters information

210 Additional rat data based on the inhibitory effect of (2) on h/rCRF-ind

211 Conditional sampling of the tracer data based on the instantaneous swimmer position shows t

212 Using simulated data based on the International HapMap Project, we show

213 vestigation of errors and biases in Illumina data based on the largest collection of in vitro metagen

214 multivariate method to analyse biodiversity data based on the Latent Dirichlet Allocation (LDA) mode

215 des new ways to browse and search the ENCODE data based on the metadata that describe the assays as w

216 -based models and simulating gene expression data based on the model states.

217 or functional brain network analysis of fMRI data based on the multi-graph unsupervised Gaussian embe

218 rmed to support and explain the experimental data based on the predicted physicochemical properties o

219 ssified retrospectively using CICU admission data based on the presence of hypotension or tachycardia

220 tool for comparing alignment results of user data based on the relative reliability of uniquely align

221 plotype frequency estimation from pooled DNA data based on the sparse representation of the DNA pools

222 CS of CO(2) and to establish new calibration data based on the variation of CO(2) Fermi diad splittin

223 StanDep clusters gene expression data based on their expression pattern across different

224 From this, a set of synthetic data based on this model was generated.

225 the Common Base Method, for analysis of qPCR data based on threshold cycle values (C q ) and efficien

226 ts, trivial unavoided crossings, analysis of data based on transition densities, and efficient comput

227 By non-dimensionalizing the data based on Umklapp scattering rates of phonons, we id

228 iii) filter large amounts of high-throughput data based on user custom filter requirements and apply

229 e photon counting (TCSPC) or time-gated FLIM data based on variable projection.

230 o compare spatial interaction models against data based on well known statistical measures that are a

231 rom fields (interquartile range of published data) based on 52 statistics from seven studies.

232 These data, based on a clinically relevant model of thyroid fo

233 These data, based on a preclinical model, demonstrate that non

234 Global and target analyses of the data, based on a sequential kinetic model, reveal four s

235 Global analysis of the kinetic data, based on a sequential three-state mechanism, quant

236 Stringent analysis of these data, based on a statistical framework designed to defin

237 bust statistical analysis of gene expression data, based on an efficient implementation of a feasible

238 method for calling cells from droplet-based data, based on detecting significant deviations from the

239 times outdated emission factors and activity data, based on few measurements.

240 Analytical modelling of the experimental data, based on Hill-Langmuir adsorption characteristics,

241 ighlight the need for detailed entomological data, based on laboratory experiments and field data, to

242 These results further support our previous data, based on mutational studies involving altered targ

243 or subspecies identification from microbiome data, based on solid statistical model for SNP calling,

244 roach for the interpretation of the ToF-SIMS data, based on the advanced data analytics.

245 d convenient method for the analysis of such data, based on the direct quantum mechanical simulation

246 Our data, based on the largest number of screen-detected AF

247 Furthermore, in silico data, based on the molecular docking simulation, showed

248 od for high-dimensional matched case-control data, based on the potential outcome model, which is not

249 provides purely spatial (parcellation-free) data, based on the stereotaxic coordinates of 2 million

250 ntal reports, as well as from crowd-sourcing data, based on Twitter messages and local newspapers' re

251 thod to accurately identify TUs from RNA-seq data, based on two features of the assembled RNA reads:

252 s ranged from 79.8 to 88.8%, while precision data, based on within and between days variations, sugge

253 ng, and Exposures: Using the National Cancer Data Base, patients ages 3 to 8 years diagnosed as havin

254 Using the National Cancer Data Base, patients who underwent surgical treatment of

255 ver high-quality structures from the protein data base (PDB) concentrates into 30 localized clusters,

256 DNA methylation data-based precision cancer diagnostics is emerging as t

257 However, data based primarily on diffusion tensor imaging approac

258 isting head-related transfer function (HRTF) data bases provide descriptions of reception of the resu

259 Here we present a multi-proxy data based reconstruction of variability in CDW inflow t

260 US regions compared with available Internet-data-based regional influenza tracking methods, and it h

261 Metabolomics is a data-based research strategy, the aims of which are to i

262 Ts in Chinese arable soils, which will allow data-based risk assessment on their use.

263 c approach is applicable to other multilevel data-based risk prediction settings, which typically suf

264 We further performed a data base search to assign genes that have this consensu

265 Examination of the Oncomine data base shows that G9a and Glp are overexpressed in va

266 We develop a data-based simulation algorithm for RNA-seq data.

267 Our data-based simulations confirmed that the observed behav

268 exerted when interpreting ESI-MS proteomics data based solely on NMR and/or X-ray structural informa

269 ral independent modules which are built upon data based (structure activity relationship and classifi

270 serve as a conceptual framework for further data-based study of the early stage of colon cancer.

271 Inclusion criteria were 1) data-based study; 2) age range of 13 to 35 years or, for

272 lementation of local and national laboratory data-based surveillance systems for the routine surveill

273 lternative splice variant of mouse CSS2 in a data base that lacks the N-terminal transmembrane domain

274 invasive surgery was first recorded in ACGME data base, the US residents' open operative experience b

275 We used the National Cancer Data Base to identify patients with clinical mRCC treate

276 de was linked to a postcode area information data base, to extract demographic information on urbaniz

277 Adults from the National Cancer Data Base undergoing LAR for rectal adenocarcinoma were

278 ts with rectal cancer in the National Cancer Data Base undergoing RLAR or LLAR from 2010 to 2011 were

279 ate transcripts selected from the microarray data based upon fold change and biological relevance, an

280 BLAST searches of the NCBInr protein data base using the amino acid sequence of AcSp1-like re

281 rametric mapping analysis and delineation of data-based VOIs.

282 collagen structure-function relationship, a data base was assembled including hundreds of type I col

283 The 1998 to 2012 National Cancer Data Base was queried for T1-3N0-1M0 pancreatic adenocar

284 The 1998-2011 National Cancer Data Base was queried to identify patients who underwent

285 The National Cancer Data Base was queried to identify women with stage 1 to

286 The National Cancer Data Base was queried to select patients diagnosed with

287 A heart failure gene expression data base was used to analyze changes in expression patt

288 nts and Methods By using the National Cancer Data Base, we estimated absolute change (APC) and relati

289 Using the National Cancer Data Base, we examined the surgical choices of women wit

290 sing data from the 2006-2007 National Cancer Data Base, we ranked 1279 hospitals according to a compo

291 to 2012 and included in the National Cancer Data Base were analyzed.

292 al T1-2, N0, M0 NSCLC in the National Cancer Data Base were evaluated using propensity score matching

293 lity Improvement Program and National Cancer Data Base were linked to augment cancer registry informa

294 cer from 2010 to 2014 in the National Cancer Data Base were pathologically staged according to the 7t

295 Radiology and pathology data bases were searched for pathology-proven testicular

296 12 were identified using the National Cancer Data Base, which includes more than 70% of patients newl

297 ed 3,753 patients within the National Cancer Data Base who received multiagent systemic chemotherapy

298 Improvement Program and the National Cancer Data Base who underwent pancreatic resection for cancer

299 an inception cohort of US Renal Data System data base with patients older than 18 years who underwen

300 Patients in the National Cancer Data Base with stage III colon cancer, diagnosed between