ライフサイエンスコーパス: data base

1 ng to the Carbohydrate-Active Enzymes (CAZy) data base).

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

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

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

5 athology and reported to the National Cancer Data Base.

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

7 005 were identified from the National Cancer Data Base.

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

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

10 time were examined using the National Cancer Data Base.

11 tables and a nuclear-mtDNA pseudogene (NUMT) data base.

12 identified in the Trypanosoma brucei genome data base.

13 by our own institutional surgical infection 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 2011 were identified in the National Cancer Data Base.

17 1, 2005, and reported to the National Cancer Data Base.

18 women was identified in the National Cancer Data Base.

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

20 re identified from genomic and cDNA sequence data bases.

21 a with interaction information from existing data bases.

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

23 0-18 years) with WT from the National Cancer Data Base (1985-2001) were assessed for nodal evaluation

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

25 h ILC were selected from the National Cancer Data Base (1989-2001) using an extensive set of inclusio

26 Using the National Cancer Data Base (1995-2004), 9559 patients were identified wit

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

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

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

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

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

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

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

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

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

36 According to the Unigene data base, 84% of the SRF target candidates were express

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

38 2010, and identified via the National Cancer Data Base, a large observational database, were included

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

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

41 Our comprehensive data base affords a complete view of the binding site an

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

43 Data base analysis indicates that human Set1A protein sh

44 nsferases and furthermore are reflected in a data base analysis of in vivo O-glycosylation sites.

45 Genomic data base analysis reveals the presence of a second vers

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

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

48 we have built a Web interface to access our data base and programs.

49 010 were identified from the National Cancer Data Base and stratified by use of PORT (>/= 45 Gy).

50 bAUK1, -2 and -3) in the Trypanosome Genomic Data Base, and their expressions in the procyclic form o

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

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

53 s has been created as a first step towards a data-based approach for constructing signal transduction

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

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

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

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

58 cquired intradepartmental surgical infection data base at our institution.

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

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

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

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

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

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

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

66 The data base can also be searched for promoters harboring u

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

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

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

70 Although the published structure-function data base describing this system is probably the most ex

71 entical in sequence to a gene product in the data base designated DOCK11, which are members of the DO

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

73 et errors, and one must depend on a training-data-based error estimator.

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

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

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

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

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

79 user to search the human and mouse promoter data bases for potential target genes containing one or

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

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

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

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

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

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

86 Using available cetacean stranding data bases from four disparate areas, we show that the g

87 The compilation of analogous data bases from studies of other protein-protein interac

88 We queried the Arabidopsis thaliana genome data base in search of genes with similarity to the huma

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

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

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

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

93 Raw data-based iterative reconstruction yielded equivalent s

94 rdization of CAM interventions, the need for data-based justifications for the study hypotheses, and

95 Much of the data-based literature has focused on informed consent.

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

97 Our data-based mathematical model quantitatively describes V

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

99 ucoma medications by using a modified claims data-based measure of adherence, validation by chart rev

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

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

102 Data base mining revealed 12 candidate NST genes in the

103 y utilizing microarray analysis and promoter data base mining.

104 w here that one of the miRs predicted by the data base, miR145, whether transfected as a synthetic ol

105 The data-based model development revealed several biological

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

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

108 Our data-based models show that membrane modification of bot

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 examined patients who received cura

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

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

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

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

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

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

121 We built a data base of putative promoter regions for 23,077 human

122 We used this data base of putative promoters to identify potential ta

123 ere identified in the expressed sequence tag data base of the helminth parasite Schistosoma mansoni,

124 tegy was developed to obtain a comprehensive data base of the structural and functional effects of al

125 8793 human and 6785 mouse promoters from the Data Base of Transcriptional Start Sites.

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

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

128 ot readily identified in the complete genome data bases of these species.

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

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

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

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

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

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

135 zed t-/F-statistics for two-class microarray data based on [Formula: see text] penalty.

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

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

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

139 4 Bayesian methods for imputing the missing data based on a missing-at-random assumption: multiple i

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

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

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

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

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

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

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

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

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

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

150 iologic study with prospective collection of data based on baseline computed tomographic screening fo

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

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

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

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

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

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

157 Experimental data based on dominant-negative approaches suggest that

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

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

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

161 stimated using microenvironmental monitoring data based on field measurements.

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

163 Statistical analysis of the data based on Gene Ontology (GO) group annotation showed

164 Molecular data based on gene transcriptional profiles of a 3-gene

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

182 e SNP selection method for unphased genotype data based on multiple linear regression (MLR) is implem

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

184 Because data based on national population samples are unavailabl

185 Genomic data based on next-generation sequencing technology are

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

187 to analyze operating room information system data based on operating room efficiency.

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

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

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

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

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

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

194 rchical clustering was used to partition the data based on protein expression, and then the data were

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

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

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

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

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

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

201 Our present data based on selective interference with activation of

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

203 Using uncorrected data based on Sepkoski's compendium, we find significant

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

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

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

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

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

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

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

211 Using simulated data based on the genetic structure of the African Ameri

212 experimental and theoretical band-broadening data based on the Golay equation showed that band broade

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

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

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

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

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

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

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

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

221 is mainly due to a drastic filtering of the data based on the possibility of osmium contamination by

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

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

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

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

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

229 Published genome-wide expression data based on whole genome tiling arrays and massively p

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

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

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

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

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

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

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

237 a novel approach to visualizing association data, based on an inferred ancestry of the sample.

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

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

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

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

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

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

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

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

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

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

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

249 SbDES3, from an expressed sequence tag (EST) data base prepared from isolated root hairs.

250 However, data based primarily on diffusion tensor imaging approac

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

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

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

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

255 sferase 2 was originally identified during a data base search for fucosyltransferases in Drosophila.

256 Data base search queries derived from the pharmacophore

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

258 '-untranslated region of mouse Abcg2 mRNA by data base searches and reverse transcription-PCR.

259 Data base searches reveal Hcol2, -5, and -6 are highly c

260 phore sites that were used in small molecule data base searches, affording hits with demonstrated noc

261 N-acetylmuramic acid hydroxylase by computer data base searching and motif comparisons with the eukar

262 irtual screening validation of the Maybridge data base, seeded with selective CCR1 antagonists.

263 Querying microarray studies in the public data base showed that CLR16.2 was significantly (>90%) d

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

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

266 A real data-based simulation study about the estrogen receptor

267 the analysis of a real data set and a unique data-based simulation study designed to capture the chal

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

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

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

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

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

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

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

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

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

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

278 Stratification of the data based upon HLA haplotype suggested that peptide 7 c

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

280 BLAST searches of the NCBInr protein data base using the primary sequence of ECP-1 revealed s

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 allel signature sequencing tissue expression data base, we identified an uncharacterized gene named D

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

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

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

294 The PH and surgical data bases were matched from 1991 to 2003.

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