ライフサイエンスコーパス: data from

1 Two cohorts were formed based on data from 1,212,295 men aged 18 years who were conscript

2 We analyzed data from 1,956 males participating in Pregnancy Study O

3 Data from 10,713 dentate participants aged >=30 years in

4 Using data from 1000 farms, random forest algorithms were able

5 ng-state FC using magnetic resonance imaging data from 101 CNV carriers, 755 individuals with idiopat

6 We analyzed data from 1021 patients with HCV infection (506 with gen

7 Longitudinal data from 1089 participants (mean observation period, 3.

8 Analyses included reward positivity (RewP) data from 118 children randomly assigned to PCIT-ED (n =

9 Data from 12 BCS patients and the 7 mastectomy patients

10 he model using a realistic heart phantom and data from 12 cardiac patients (47-77 years, 64.5 on aver

11 oking in Schools (MECHANISMS) study baseline data, from 12-13 year old school pupils (n = 1656) in No

12 Cross-sectional data from 13 nationally representative surveys (18,859 P

13 Data from 14 patients undergoing peritoneal dialysis for

14 Using three-dimensional morphological data from 158 species representing all frog families, we

15 We analysed data from 16 countries in sub-Saharan Africa where at le

16 We analyzed whole-genome sequence data from 165 primary membranoproliferative GN cases and

17 he 3D7 strain of Plasmodium falciparum using data from 177 subjects from 14 induced blood stage malar

18 Data from 1802 human immunodeficiency virus (HIV)-negati

19 Using data from 2,500 United Kingdom twins, we observed sun se

20 Systematic comparison with published data from 2,554 prostate tumours revealed that the genom

21 A), which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumor types, we analyz

22 aleoatmospheric chemistry and use Hg isotope data from 2.5 billion-year-old sedimentary rocks to exam

23 ng Infections Program Influenza Surveillance data from 2006 to 2016 and the concurrent Tennessee Hosp

24 Scientific Registry of Transplant Recipients data from 2011 to 2016 toward the Liver Simulated Alloca

25 Data from 202 patients with ILO [73% female, mean (SD) a

26 is study, we analyzed P. vivax DMFA (PvDMFA) data from 22,236 mosquitoes tested from 96 independent a

27 Here, we use population-based data from ~22,000 persons of known HIV status to charact

28 Applied to data from 2658 tumours and 38 cancer types, TrackSig per

29 Data from 281,228 UK Biobank participants were used to e

30 ed global trends in vaccine confidence using data from 290 surveys done between September, 2015, and

31 coral bleaching, temperature, and turbidity data from 3,694 sites worldwide with a Bayesian model an

32 Data from 3,939 participants enrolled in the Chronic Ren

33 transcriptional regulation using omic-scale data from ~3000 geographically and ethnically diverse hu

34 grate healthcare and research exome-sequence data from 31,058 parent-offspring trios of individuals w

35 ly generated matched scRNA-seq and exome-seq data from 32 human dermal fibroblast lines, identifying

36 We analysed physiological and activity data from 32 individuals infected with COVID-19, identif

37 Data from 354 patients (mean age 55 +/- 14 yr, 28.5% mal

38 For a replication cohort, we meta-analyzed data from 36 cohorts with 1,051,723 patients from OptumL

39 405) and validation (n = 2313) cohorts using data from 4 recent trials (UKALL2003, COALL-03, DCOG-ALL

40 To this end, we used data from 415 maize hybrids evaluated in 4 years of seco

41 lity/Healthcare Cost and Utilization Project data from 43 State Inpatient Databases to calculate "adj

42 From Short-HER, data from 435 (35%) of 1254 patients for tumour size (T1

43 Here, we use empirical animal tracking data from 459 individual sharks and baited remote underw

44 ard demographic and organ donor registration data from 5 states to estimate the association between a

45 s with geographic, economic, and demographic data from ~65,000 U.S. census tracts.

46 ole-genome, whole-exome and/or transcriptome data from 702 neuroblastoma samples.

47 ished single-cell RNA-sequencing (scRNA-seq) data from 727 peripheral and nervous system cell types s

48 Data from 89 patients with laboratory-confirmed Covid-19

49 t baseline and late positive potential (LPP) data from 99 children (44 assigned to PCIT-ED vs. 55 ass

50 developed and tested in the Raine Study with data from 995 white 17-y-old participants using 10-fold

51 When applied to human adult Ultrasound data from a Cardiac Motion Analysis Challenge (CMAC), th

52 B. juncea, to which we mapped transcriptome data from a diverse panel of B. juncea accessions.

53 Using partially validated data from a human immunodeficiency virus cohort, we illu

54 We used real-world data from a large biopsy-controlled study of excessive d

55 rophic network using ecosystem energetics to data from a large grassland biodiversity experiment.

56 s with SMI diagnosed during 2006-2017, using data from a large secondary mental healthcare database a

57 l discovery algorithms to sea level pressure data from a large set of climate model simulations and,

58 Using data from a large, community-based integrated health car

59 These data from a limited cohort provide a critical first step

60 Moreover, data from a phase I study led to the FDA granting breakt

61 published blood transcriptomic data with new data from a prospective human immunodeficiency virus (HI

62 chromatin accessibility and gene expression data from a retinoic acid (RA)-induced mouse embryonic s

63 Here, we present data from a retrospective analysis using PET/CT and PET/

64 Sequencing data from a single biopsy represent a snapshot of this p

65 Example analysis using FT-MS data from a soil microbiology study demonstrates the cor

66 ained on within-participant single-trial EEG data from a Sternberg working memory task.

67 Using RNA-Seq data from a study of major depressive disorder (MDD), we

68 lso compare these methods using real RNA-seq data from a study of major depressive disorder.The cnCV

69 ain structures and stimuli, we also analyzed data from a study of single-cell RNA sequencing of mouse

70 industrialized and developing regions, using data from a systematic review of studies published betwe

71 We examine behavioral and neural data from a task-set learning experiment using a network

72 Rather than generate data from a theoretical model, in this paper we develop

73 arly, a comparison of multiregional sampling data from a total of 274 tumor regions showed that new p

74 Data from adult LT recipients with laboratory confirmed

75 Data from Alberta, Canada was used as a control group.

76 Surveillance data from all Dutch sexually transmitted infection (STI)

77 Baseline to month 24 data from all randomized study eyes in HARBOR with both

78 tly and positively correlated when combining data from all sites but often not at individual sites.

79 interactions by superimposing stable isotope data from alternative sources to better estimate the suc

80 Here, we extracted data from Alzheimer's Disease Neuroimaging Initiative (A

81 able safety, tolerability and immunogenicity data from an ongoing placebo-controlled, observer-blinde

82 rent tumors, and microarray and metabolomics data from Arabidopsis thaliana.

83 Analysis of transcriptomic data from autopsy cases and animal models confirms that

84 ultiscale mathematical model that integrates data from biology and pathology on the microenvironmenta

85 6 signals were intronic variants; expression data from blood and lung tissue showed that the majority

86 ratifying cells and features using published data from blood cancer.

87 Data from both humans and animal models are consistent i

88 We analyze data from both preclinical mouse experiments and a clini

89 TIONS: We prospectively analyzed hemodynamic data from children in the cardiac ICU who received fluid

90 We used data from clinical trials and literature on tuberculosis

91 tonomous RAS is on the horizon and the first data from clinical trials of autonomous RAS in urology a

92 cations for TAVI, discuss relevant available data from clinical trials, and highlight procedural impl

93 re still recruiting to be reported alongside data from closed cohorts.

94 analytical approach that uses summary-level data from cohort-based DNA methylation (DNAm) quantitati

95 ospectively analyzed prospectively collected data from consecutive patients undergoing endovascular a

96 Data from consecutive patients undergoing pancreatoduode

97 We collated contact tracing data from COVID-19 clusters in Singapore and Tianjin, Ch

98 ion (MBIR) in a retrospective study by using data from CT examinations of pediatric patients (Februar

99 COVID-19, a retrospective cohort study using data from Danish national administrative registries was

100 t study, we used unselected annually updated data from Danish nationwide registers covering more than

101 Using study-level published data from DAPA-HF and patient-level data from EMPEROR-Re

102 These data from dead minds open up an untapped and highly dive

103 s of descriptive analyses of cross-sectional data from demographic and health surveys and multiple in

104 sing record-linked birth and hospitalisation data from Denmark, Scotland, England, and Australia (New

105 t of single-cell E. coli flagellar synthesis data from different strains and mutants, we identify the

106 highlighting the advantages of incorporating data from diverse human populations.

107 free recovery of petabyte- and exabyte-scale data from DNA degraded with as much as 10% errors.

108 An important challenge in pre-processing data from droplet-based single-cell RNA sequencing proto

109 However, text data from eHRs, e.g., discharge summary notes, are chall

110 ve, observational study involved a review of data from electronic health records of patients aged >=1

111 terize inhibitors, and leveraging real-world data from electronic health records to begin to understa

112 ma centers, which uses routinely collectible data from electronic medical records, along with brief c

113 Data from eligible studies were pooled using standardise

114 en georeferenced opioid overdose event (OOE) data from emergency medical service responders and 311 s

115 ublished data from DAPA-HF and patient-level data from EMPEROR-Reduced, we aimed to estimate the effe

116 Stable isotope data from enamel carbonates and dentin collagen (childho

117 employed trans-ancestral meta-analysis using data from European and East Asian populations to identif

118 data were correlated with pathogenicity test data from excised-leaf assays for three isolates of Coll

119 Here we combine data from exhumed subduction zone high-pressure rocks an

120 ical and epidemiological studies, as well as data from experimental animal work, are being summarized

121 Here, based on data from experiments that manipulated both CO(2) and P

122 A (n = 181) and examined via transcriptomics data from external cohorts.

123 spective, inception cohort study used claims data from fee-for-service Medicare beneficiaries hospita

124 We report data from first-principles simulations showing that the

125 Multicenter observational study using data from four large randomized controlled trials invest

126 We extracted and synthesized data from full-text articles that met inclusion criteria

127 Morphological and genetic spatial data from functional experiments based on genetic, surgi

128 Data from genome-wide association studies in up to 215,5

129 x (BMI) genome-wide association study (GWAS) data from >457,000 individuals.

130 ation by proxy, which was meta-analysed with data from GWAS of clinical Alzheimer's disease to attain

131 ify the risk of rabies in biting dogs, using data from Haiti's animal rabies surveillance program.

132 rarchical Bayesian model to single-trial EEG data from healthy human volunteers of either sex who rec

133 number variations (CNVs) and gene expression data from healthy subjects.

134 tion, DNA methylation, and RNA transcription data from human cortical tissue samples of 233 subjects,

135 revious analysis of RNA sequencing (RNA-seq) data from human naive pluripotent stem cells reported mu

136 mechanisms and tested model estimates using data from human perceptual studies.

137 urs of functional magnetic resonance imaging data from human subjects listening to natural stories.

138 These findings are supported by clinical data from ICB treatment cohorts.

139 Syndromic surveillance data from Illinois showed that the mean monthly rate of

140 and correct these emissions factors based on data from in-field studies assessing AMLD emissions esti

141 Combining the data from individual clinical sites using different comp

142 ons made by the draft model were compared to data from individual pooled mutant experiments to identi

143 lized data, and evaluate generalizability on data from institutions outside the federation.

144 Using rat retina RNA-seq data from ischemic and normal conditions, we show that o

145 twork for Organ Sharing (UNOS) de-identified data from January 1, 2016 to September 30, 2019 we compa

146 We used data from Kantar Worldpanel, a commercial household purc

147 We performed a meta-analysis of primary data from laboratory experiments conducted across four c

148 We analyzed surveillance data from laboratory-confirmed cases of salmonellosis fr

149 ing its burden requires cumulative incidence data from longitudinal studies, which are rarely availab

150 rnal and child nutrition rarely incorporates data from low- and middle-income countries and existing

151 135 adverse events using post-market safety data from marketed drugs.

152 ALI to the CDC and included, when available, data from medical-record abstractions and patient interv

153 We analyse ChIP-seq data from MEIS, TFs which are broadly expressed across m

154 As data from more and more neurons and their complex intera

155 Here, we present carbon isotope data from more than 1,050 fossil teeth that record the d

156 diometabolic disease-associated traits using data from more than 10,000 sub-Saharan African individua

157 pproaches will become necessary to integrate data from more than one omic technique.

158 designed to incorporate long- and short-read data from mother-father-child trios, and therefore requi

159 Here, we analyze gut metagenomic data from mother-infant pairs and patients undergoing fe

160 ssment includes Process Mass Intensity (PMI) data from multiple companies to provide preliminary base

161 Data from multiple phosphoproteomic data sets are provid

162 sociated genes in single-cell RNA-sequencing data from multiple tissues from healthy human donors.

163 nally representative demographic and dietary data from National Health and Nutrition Examination Surv

164 Finally, our data from NCI-H295R adrenocortical carcinoma cells sugge

165 This discovery prompted us to collect data from nine additional patients with de novo KCNN2 va

166 ute infection, including additional relevant data from non-human primate (NHP) studies.

167 udies were utilized when available; however, data from observational studies were also reviewed.

168 However, there are currently no reliable data from observational studies, as the high variability

169 Cross-sectional data from older adults (>=60 y; n = 2420) from the 2011-

170 We found that, on average, scRNA-seq data from only five genes predicted a cell's position on

171 The Bayesian trial design enables outcome data from open cohorts that are still recruiting to be r

172 A growing body of data from other elastic systems suggests that similar co

173 cular-targeted therapeutics, and hemodynamic data from other imaging modalities (e.g. MRI).

174 Using phenotypic and genomic data from over 100,000 UK Biobank participants, the auth

175 Here, we analyze data from over 11,500 9- to 10-year-olds to establish re

176 r's disease and vascular dementia, analyzing data from participants aged 40 years or older in the Nat

177 sm of action, coupled with emerging clinical data from patients treated with these drugs, have sparke

178 Using data from patients with focal brain damage, we demonstra

179 Data from patients with MRSA nares screening were obtain

180 Here, we integrated cortical neuroimaging data from patients with neurodevelopmental disorders cau

181 st model quantitatively by comparing it with data from perturbed muscle cells.

182 However, performing robust synthesis of data from pharmacogenetic studies is often challenging b

183 portant additional features, as supported by data from pilot clinical studies in both the NICU and PI

184 Pharmacokinetic data from plasma and cerebrospinal fluid (CSF) were anal

185 We used data from population-based surveys done in sub-Saharan A

186 ine to analyze publicly available expression data from postmortem brain regions across humans, chimpa

187 pposition rates were comparable with similar data from preclinical rodent models.

188 Outcome data from procalcitonin-guided therapy trials have shown

189 PK profiles and parameters with the observed data from published rat and human data following intrave

190 l load in non-pregnant adults, few published data from randomised controlled trials have compared the

191 Comparison with similar data from rats indicated a very high level of similarity

192 Baseline data from routine care were collected between October 20

193 Moreover, using sub-cellular proteomics data from Saccharomyces cerevisiae, we uncover a novel g

194 numbers in small areas based on enumeration data from sample areas and nationwide information about

195 nalysis of high depth-of-coverage sequencing data from samples from 91 individuals with influenza B,

196 Leaf area index data from satellites along with climate data estimated l

197 larial activity, and establishes curation of data from screening assays, used routinely in antimalari

198 often based on the global fossil record, but data from selected paleogeographic regions under a relat

199 We analyze data from seven fMRI studies (N = 165) and five types of

200 Preliminary data from severe acute respiratory syndrome coronavirus

201 To achieve this goal, we used data from six paired eddy-covariance towers over co-loca

202 In this study, we used tracking data from six Southern Ground-hornbill groups (a total o

203 Using 100-year historic daily precipitation data from six stations of forest lands along with multiv

204 e-and-after study, and collected qualitative data from staff and patient interviews and practice obse

205 Fitting a statistical model to data from studies of influenza vaccine effectiveness (VE

206 We used data from surveys of 538 plant and animal species over t

207 tegy to simulate single-cell transcriptional data from synthetic and Boolean networks that avoids pit

208 tic peptides and root and nodule phenotyping data from synthetic peptide screens in planta.

209 We pooled cross-sectional data from the 2004 to 2017 National Health Interview Sur

210 2013-2014) and obtained relevant population data from the 2011 Australian Census.

211 rmany, Italy, Spain, and the United Kingdom) data from the 2015 and 2017 Adelphi Inflammatory Bowel D

212 Survey and web-traffic data from the 2016 US presidential campaign show that su

213 We obtained data from the 2017 Area Health Resources File.

214 y 2016-2017 annual survey with patient-level data from the Adult Patient Database.

215 ne the outcomes following LDLT for ALD using data from the adult-to-adult living donor liver transpla

216 Using publicly available data from the Allen Brain Institute, we generated whole

217 Using crowd-sourced data from the Amazon Kindle application, we demonstrate

218 Data from the Association of American Medical Colleges i

219 level, which was made possible by recovering data from the Brazilian coastal population through the g

220 from The Cancer Imaging Archive and genomic data from The Cancer Genome Atlas from 110 patients from

221 Biobank brain imaging data and transcriptome data from the Cancer Genome Atlas, we show that cluster

222 onstrated their generalizability on external data from The Cancer Genome Atlas.

223 Imaging data from The Cancer Imaging Archive and genomic data fr

224 This study analyzed data from the CARDIA (Coronary Artery Risk Development i

225 l service responders and 311 service request data from the City of Columbus, OH, USA for the time per

226 We collected data from the clinic on diagnoses of celiac disease base

227 Data from the clinical booking system (new patient and f

228 This study uses data from the Connecticut Public Utilities Regulatory Au

229 ague pandemic of 1417 in Florence as well as data from the COVID-19 pandemic in China over the entire

230 liver chemistries and liver histology using data from the CyNCh (Cysteamine Bitartrate Delayed-Relea

231 n incident atrial fibrillation using summary data from the Early Growth Genetics Consortium GWAS of b

232 in line with recent paleoneurological fossil data from the early to mid-Cambrian of China and North A

233 Given lightning frequency data from the Earth Networks Total Lightning Network and

234 ediction of postoperative PVR using clinical data from the electronic health records.

235 tudy results with single-cell transcriptomic data from the entire mouse nervous system to systematica

236 ne disruption consisted of continuous AC(50) data from the February 2019 release of ToxCast/Tox21.

237 Using data from the Global Burden of Disease Study 2017 (GBD 2

238 To estimate the need for rehabilitation, data from the Global Burden of Diseases, Injuries, and R

239 Using data from the Global Enteric Multicenter Study, we asses

240 mple MR was performed by using summary-level data from the Global Lipid Genetics Consortium (n = 188,

241 Using discharge data from the hospital population health database, resid

242 Finally, palaeoecological data from the HS 3 interval unveiled an internal variabi

243 ectancy and life span equality with reliable data from the Human Mortality Database for 49 countries

244 IBD microbial co-abundances in longitudinal data from the IBD cohort of the integrative human microb

245 a wide array of these factors by leveraging data from the IMAGEN study, a longitudinal population-ba

246 Data from the INTENSE study was analysed to determine wh

247 Integration of this dataset with genotype data from the largest PTSD genome-wide association study

248 macular edema associated with CRVO based on data from the LEAVO study.

249 Background Radiofrequency ultrasound data from the liver contain rich information about liver

250 Consortium for discovery (N=19,210) and ADHD data from the Lundbeck Foundation Initiative for Integra

251 retrospective study of administrative claims data from the MarketScan Commercial and Medicare databas

252 The test set included data from the National Health and Nutrition Examination

253 Using data from the National Perinatal Data Collection we comp

254 Using data from the Nationwide Emergency Department Sample, th

255 ods In this retrospective analysis that used data from the OA Initiative, a DL model on knee radiogra

256 ormula: see text]-Weibull distributions with data from the plague pandemic of 1417 in Florence as wel

257 gene-wide analyses, using ADHD meta-analytic data from the Psychiatric Genomics Consortium for discov

258 We collected and examined data from the REGARDS baseline assessment, medical chart

259 Using data from the Robert Wood Johnson Foundation County Heal

260 March 11 and May 3, 2020, were compared with data from the same period for the past 3 years.

261 l study of COVID-19 hospital mortality using data from the SIVEP-Gripe (Sistema de Informacao de Vigi

262 Combining data from the substudies, ten (7.0%) of 143 patients res

263 nwide register-based cohort study, we linked data from the Swedish MS register to the Swedish Cancer

264 d with routinely collected malaria morbidity data from the town of Mancio Lima, the main urban transm

265 Collectively, the data from the transfer of 12 nif gene clusters between 1

266 alysis using human epithelial transcriptomic data from the U-BIOPRED cohort identified severe asthma

267 In this analysis of data from the UK Biobank, we found that regardless of th

268 use an unprecedented combination of observed data from the United States comprising a 5-y time window

269 (HCoV-OC43) and HCoV-HKU1 using time-series data from the United States to inform a model of SARS-Co

270 ucted between 2003 and 2016 and was based on data from the University of North Carolina Early Brain D

271 The authors used data from the Veterans Affairs Clinical Assessment, Repo

272 We pooled individual patient data from the Virtual International Stroke Trials Archiv

273 r theoretical model matches the experimental data from the water window to the keV x-ray regime.

274 The data from these articles were abstracted and the article

275 However, the rapid growth in complexity of data from these assays has outpaced our ability to accur

276 Here, we combine data from three independent trust game studies to find t

277 We compress gene expression data from three large datasets consisting of adult norma

278 Using data from three population-based Brazilian birth cohorts

279 Clinical Data." It consisted of ICU patient data from three separate hospital systems.

280 city, we analyzed single-cell RNA sequencing data from tissue-specific mouse ECs generated by the Tab

281 However, shotgun metagenomic data from treatment-naive patients are scarce hampering

282 Within PAD populations, data from trials may be difficult to interpret due to di

283 series analysis of retrospectively collected data from Twitter and two London mental healthcare provi

284 After calibrating the model on experimental data from two circuits, we demonstrate close agreement b

285 (EDA), pooling our original data with extant data from two followup studies (one lab, three experimen

286 With data from two model organisms (mice, zebrafish) and five

287 metabolism using comprehensive metabolomics data from two population-based studies.

288 Using data from two previous large-scale surveys [9, 10] separ

289 Using data from two publicly available human genomic diversity

290 ing Bayesian inference with the longitudinal data from two published clinical studies.

291 Here we integrate data from UK Biobank and a large-scale international col

292 Using patient-level claims data from US commercial and Medicare payers, we implemen

293 We used data from venous thromboembolism prevention trials to ev

294 , blood proteomes, clinical chemistries, and data from wearable devices.

295 on continuous analysis of nationally sampled data from white and black American adults age >=45 years

296 We test our model using long-term data from wild banded mongooses, a species characterized

297 Here, we use longitudinal data from wild Phayre's leaf monkeys to test the hypothe

298 We used long-term data from wild yellow-bellied marmots (Marmota flavivent

299 Based on health insurance data from women in the United States with intrauterine d

300 We identified 41 studies reporting data from year 1987 to 2017, mainly from Europe, North A