ライフサイエンスコーパス: data

1 -related genes by integrating multiple omics data.

2 The model was validated against surgical data.

3 ibosome-profiling and mass spectrometry (MS) data.

4 ynthetic compounds with that of the reported data.

5 ination of only patients with 1-year outcome data.

6 mmodate constantly growing microbial genomic data.

7 orrelated between two or more subsets of the data.

8 update, explore, and analyze phage genomics data.

9 r variable selection in matched case-control data.

10 ) structure, which is supported by new EXAFS data.

11 data clearly differs from that with the PBLS data.

12 ed for their impact on the PET brain imaging data.

13 adiation exposure using large-scale registry data.

14 ity in the differential analysis of ATAC-seq data.

15 This article reviews the available data.

16 mark studies on simulated and real scRNA-seq data.

17 otation to identify and interpret meaningful data.

18 ological noise found in normalized scRNA-seq data.

19 ration is given to the fit between model and data.

20 ferent tissues in single-cell RNA-sequencing data.

21 methods and 4 different types of metagenomic data.

22 veloped to aid retrieval and analysis of the data.

23 f lack of experimental relative permeability data.

24 sectoral pattern deviation (PD) from SD OCT data.

25 s when using our CRISPR screen as validation data.

26 s due to the difficulties in collecting such data.

27 isease progression from brain transcriptomic data.

28 sing United Network for Organ Sharing (UNOS) data, 14 844 HCC patients listed for LT from 2005 to 201

29 c analysis based on genotyping-by-sequencing data [6] of the 15 species of Scalesia (Darwin's giant d

30 With the possibilities of high data acquisition speed or high separation powers in comb

31 Exposure mixtures frequently occur in data across many domains, particularly in the fields of

32 ncreasing quantity of available genome-scale data across the tree of life.

33 larly difficult to assign by NMR correlation data alone.

34 The data also establish FRbeta as the first marker that dist

35 will improve and standardize processing and data analysis and interpretation in functional and struc

36 manuscript presents results from a secondary data analysis for 1,022 women aged 15-24 who reported ev

37 ex method and G-statistic method for BSA-Seq data analysis require relatively high sequencing coverag

38 Here we use National Wetland Inventory data and 5-kilometre grid-scale estimates of N inputs an

39 Combined adverse event data and BCAR episodes from all six CTG trials revealed

40 Clinical data and biological samples were obtained at admission,

41 e United Kingdom, who provided questionnaire data and Magnetic Resonance Imaging scans.

42 (CN, n = 322) groups, we used structural MRI data and neuropsychological assessments to develop a nov

43 We further made the annotated data and protein structures readily downloadable from MI

44 to be (2S,5R,8R) by comparison with the NMR data and specific rotation of the synthetic compounds wi

45 te-Carlo simulation method to impute missing data and then fed the selected variables to multiple mac

46 logical measurements, chemical water quality data, and dye tracer tests provide evidence of human fec

47 h model with both synthetic and experimental data, and show that we can robustly infer model paramete

48 y the use of cross-matched laboratory source data, and the possibility of unmeasured confounding.

49 Only rare data are available on its management and the outcome of

50 The data are best fit by models in which people incorporate

51 Our data are consistent with a growing body of evidence that

52 ble responses in patients with mUC; survival data are encouraging.

53 d step-by-step tutorials as well as tutorial data are fully incorporated in the web application.

54 mous amounts of DNA sequence and other omics data are generated.

55 his article makes the case that the existing data are inconclusive regarding the comparative effectiv

56 Pregnancy outcome data are inconsistently captured in pharmacovigilance da

57 Comparative data are limited and describe re-treatment rates rather

58 ge-scale statistical analyses over encrypted data are needed.

59 Sequencing data are often summarized at different annotation levels

60 Normative data are presented for myocardial native T1 and ECV usin

61 K Biobank; this longitudinal study collected data between 2006 and 2010, and participants were follow

62 More generally, these data bring a new dimension to the nuclear theranostic mo

63 ade not only in gathering terabytes of omics data but also in detailing the histologic-molecular corr

64 earning, are well placed for analysing these data but must be applied with an understanding of the re

65 pproach, wherein a model is developed on RCT data by incorporating a term for treatment assignment an

66 These data can help maximize utility of this emerging diagnost

67 Thus, our data characterize lineage-specific chromatin reconfigura

68 Although the whole representative data characterizing the immune and inflammatory status i

69 ws that the dose-response curve with the FSS data clearly differs from that with the PBLS data.

70 n water-quality (turbidity and conductivity) data collected by automated in situ sensors deployed in

71 Comprehensive maternal data collected during three study visits were addressed

72 Data collected from the commercial devices were extracte

73 hes to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a da

74 e applied our method on a very comprehensive data collection by including 32 TCGA cancer types.

75 gistering new hypotheses in between waves of data collection, we identified individual, contextual, a

76 These data, combined with the carbon and nitrogen isotope cont

77 for the analysis of bacterial transcriptomic data commonly ignore non-coding but functional elements

78 Using data-constrained modeling, we find that temperature-driv

79 ition of de-escalation applied to electronic data could be useful for ASP assessments.

80 At the data cutoff (Aug 7, 2019), the median follow-up period w

81 Taken together, these data demonstrate that discrete glycan motifs expressed o

82 These data demonstrate that multicancer blood testing combined

83 These data demonstrate that simultaneous recognition of PE and

84 Our data demonstrate that the Foxp3 locus can be epigenetica

85 These data demonstrate the diversity of potential outcomes fol

86 ouronium species and comparison with kinetic data demonstrate the significance of 1,5-O...Ch interact

87 ected tumors from colon cancer patients, our data demonstrated that HT-DBP could be used to generate

88 uencing depth and analyze the original count data directly.

89 Our data do not generally support the idea that the germline

90 The inclusion of radiofrequency transmission data does add supplementary useful information to the av

91 the presumption of a binary classification, data-driven analysis identified 4 subgroups of depressio

92 individual variability using a multivariate data-driven approach (principal component analysis) on a

93 The rapid, data-driven evolution of these procedures is unique and

94 racting more information from data to enable data-driven multiplexing with high accuracy.

95 ection and analysis, which is critical for a data-driven response to this public health challenge.

96 tric approach combined with a simulation and data fitting methodology.

97 Global data fitting was achieved by including experiments in th

98 es by acquiring and integrating quantitative data for 10,000 proteins and 55,000 phosphorylation site

99 sentative practices, used routinely acquired data for a records-based controlled before-and-after stu

100 not previously been reconstructed from proxy data for anywhere on the early Eocene Earth, and these d

101 targets in the malaria parasite, interaction data for ligands with antimalarial activity, and establi

102 696 (98%) of 711 women had available data for the primary outcome.

103 The assay development and qualification data for this original assay format are presented along

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

140 ication analysis of vibrational spectroscopy data (FTIR, Raman and near-IR) highlighting a series of

141 ility in susceptibility and the need to fill data gaps using read-across approaches.

142 Collectively, the data generated in this study suggest a polygenic adaptat

143 These data give insights into the development and selection of

144 These data have been evaluated to provide practical considerat

145 cing has grown, greater amounts of molecular data have helped improve the ability to detect and track

146 Moreover, human cohort data have revealed differential DNA methylation signatur

147 Our data highlight an integral role for CaMKII in neuronal T

148 red to previous SBT methods, on real RNA-seq data, HowDe-SBT can construct the index in less than 36%

149 Altogether, these data identify a role for TLR2 in DENV infection and prov

150 Our data identify that the neonatal microenvironment in comb

151 n of gene expression and protein interaction data improves the robustness of prediction and classific

152 ong been a hurdle in the analysis of complex data in areas such as computational biology, ecology and

153 ficacious for severe COVID-19 in adults, but data in pregnant women are limited.

154 significantly boost the performance of L1000 data in the downstream applications such as drug repurpo

155 The data included antibiotic resistance results of bacterial

156 Taken together, our data indicate functional roles for RhoA and Rho-kinase i

157 Our data indicate that anti-inflammatory and immunosuppressi

158 Overall, our data indicate that omalizumab can induce skin inflammati

159 ns in the membrane, the (19)F-(13)C distance data indicate three cholesterol molecules bound near F67

160 Taken together, our data indicated that IL-25 signaling subverts the inducti

161 We present data indicating that this repression occurs, at least in

162 All animals must transform ambiguous sensory data into successful behavior.

163 Conversion over time data is obtained by cycling a discrete reaction slug bac

164 The preassigned NMR chemical shift data is shown to be vital for NMR structure analysis of

165 he contribution from the metagenome sequence data is significant with P-values less than 4.04E-17.

166 Analysis of clinical transplantation data linked low circulating levels of GDF15 to an increa

167 this gap by fitting a computational model to data (n = 1754) from a modified serial dictator game, to

168 kflow for analysis of metagenomic sequencing data obtained from clinical samples using R9.4.1 Nanopor

169 Validation is performed on CGM data of 148 subjects with type-1-diabetes.

170 ission tomography/magnetic resonance imaging data of 18kDa translocator protein (an inflammatory mark

171 thods in applications to summary-level GWASs data of 33 complex traits.

172 e conducted a systematic review of published data on antimicrobial treatment of plague reported in ag

173 s ratio were highly consistent with clinical data on bifurcation stenting.

174 and clinical data were collected, including data on clinical management, respiratory failure, and pa

175 survival free of operative intervention, and data on complications and hospitalizations.

176 There are limited data on how such anomalies affect deaths from injuries.

177 Data on invasive mold infections (IMIs) after chimeric a

178 dministered questionnaires for collection of data on medication and other variables.

179 available adverse events, we first extracted data on myelodysplastic syndrome and acute myeloid leuka

180 of living kidney donor candidates; however, data on performance of commonly used methods are limited

181 ish members that includes linked nutritional data on purchases.

182 We applied the model to data on risk factor distribution from a variety of sourc

183 There is a paucity of data on the burden of in-stent restenosis (ISR) in the U

184 ides an up-to-date synthesis of the existing data on the MT and how it relates to CVD.

185 promise qualitatively new and more abundant data on the underlying processes and consequences for ve

186 There is scant data on the use of induction immunosuppression for simul

187 t foods as healthy and less-healthy, lack of data on vegetable oil intake, and possibility of residua

188 ssociations are unexpected based on efficacy data or evidence-based guidelines.

189 Therefore, data pertaining to 388 patients is included in our analy

190 These data point to a novel "thiol-blocked" [(PDT)Mo(V)O(S(Cys

191 Emerging data point to functional heterogeneity of fibroblasts.

192 Thus, our data point to potential adverse neurobehavioral conseque

193 modulates SARS-CoV-2 infection outcome, the data point to putative transcriptional genetic markers o

194 nditions corresponding to 3,221 experimental data points were simulated.

195 be quantified by RNA-seq and a user-friendly data portal, enabling a broad range of biomedical invest

196 Demographic data, postoperative outcomes and complications, graft an

197 uture work will apply this method to in vivo data, potentially providing an important biomarker for c

198 The main stages of the protocol are data preprocessing and normalization, joint factorizatio

199 ence from full text articles, abstracts, and data presented at scientific meetings has been considere

200 it chips offers a viable route for in-sensor data processing and wireless transmission in many medica

201 Together, these data provide a mechanism as to how TIH, prevalent in peo

202 These intracranial data provide a more fine-grained and nuanced characteriz

203 Our data provide an important proof-of-concept and model sys

204 timulation and on-site seismicity monitoring data provide an unprecedented opportunity.

205 Collectively, these data provide compelling evidence for early stage TRM fat

206 These data provide direct mechanisms by which an MHC-II SE con

207 well-established mouse model of TB, our new data provide evidence that the alarmin S100A8/A9 mediate

208 These data provide further evidence for heterogeneous selectio

209 These data provide unprecedented insight into some of the proc

210 lity of a computational model to explain the data, quantified in modern statistical approaches by the

211 descriptive models by learning from training data rather than by being rigidly programmed.

212 BCA), which indicates that there are limited data regarding nephrogenic systemic fibrosis (NSF) risk,

213 This global data repository is used by millions of scientists and ed

214 Together, these data reveal that liver sinusoidal endothelial cells sens

215 Hierarchical clustering of OMP occurrence data revealed the relevance of 11 most frequently detect

216 es of critical steps, such as preprocessing, data selection, feature extraction, classification and m

217 lasm and associated phenotypic and genotypic data serve as enduring resources.

218 One training data set and an independent test set were collected from

219 ormance of CV19-Net, a randomly sampled test data set composed of 500 chest radiographs in 500 patien

220 mportant mites based on total RNA sequencing data sets generated in this study as well as those depos

221 ort was divided into training and validation data sets.

222 h ADHD risk in the discovery and replication data sets.

223 Taken together, our data shed light on the genetic structure of the HHV-6A a

224 Collectively, these data show a unique interaction of between pathogenic C d

225 Our data show human IgM affects C. neoformans morphology in

226 Collectively, our data show that CCR3 deficiency influences osteoblast and

227 Collectively, these data show that CeA-LH projections are important for pers

228 Mechanistically, our data show that G9a-derived dimethylated H3K9 (H3K9me2) s

229 Overall, our data show that inhibition of HIV-1 maturation by BVM inv

230 Our data showed that Ca37 was able to detect C. albicans cel

231 Analysis of real and simulated data shows that our method can identify large expansions

232 which will serve as a valuable, integrative data source to foster metalloenzyme related research, pa

233 We review iEcology data sources and methods, and provide examples of potent

234 ting features with independent complementary data sources can be implemented in many different high-t

235 l known that the integration among different data-sources is reliable because of its potential of unv

236 lization of hyperspectral images and the MSI data specifically, such as principal component analysis,

237 The data standards and models needed to achieve this integra

238 ation density, DNA is considered a promising data storage medium.

239 These data suggest a broad regulation of motor behavior by DA

240 Observational data suggest associations between marijuana and a broad

241 Results: Our data suggest that a threshold of 25% of SUV(max) (SUV(25

242 Together, these data suggest that alpha3beta4* nAChRs regulate the stimu

243 ithin tissues, but discernible trends in the data suggest that cellular environment is a major factor

244 Thus, our data suggest that endogenously produced acyl-ghrelin not

245 Collectively, these data suggest that functionality and tissue localization

246 Data suggest that interaction between gingivitis and obe

247 Our data suggest that MAIT cells are highly activated and be

248 Collectively, our data suggest that mTOR activity is linked to T-bet in Ag

249 These data suggest that sigma1 conformational rearrangements m

250 Data suggest that temperate adapted bacteria may replace

251 Our data suggest that the brain uses theta power and synchro

252 d their receptors in CNS dysfunction, recent data suggest that they exert neuroprotective roles in CN

253 Our data suggest that this protease, matrix metalloprotease-

254 RNA-seq, Capture Hi-C, and patient survival data suggests that CALCOCO1 and ZC3H10 are target genes

255 These data support that different ragweed species can be consi

256 Unexpectedly, our data support the formation of a ketoimine rather than an

257 However, data supporting the use of ISA for primary prophylaxis i

258 Demographic data, TBM severity grade, HIV co-infection status, and c

259 visit resting-state functional MRI (rs-fMRI) data that assess observed longitudinal motor and cogniti

260 f telomeropathies and highlight experimental data that illustrate how genetic mutations drive telomer

261 However, despite the behavioral data, there is no neurobiological evidence demonstrating

262 nywhere on the early Eocene Earth, and these data therefore suggest that regionalised cool episodes p

263 Our data thus link engagement of the CRN to the temporal dyn

264 Currently no approaches for using in vitro data to anticipate such in vivo effects exist.

265 gical species including humans and proteomic data to classify breast cancer tumours.

266 We fit hierarchical Bayesian models to these data to describe both the mean trip number and duration.

267 This study uses national survey data to describe testosterone levels by age in youths ag

268 This was applied on WGS data to determine the source of human campylobacteriosis

269 istries, by extracting more information from data to enable data-driven multiplexing with high accura

270 rhosis in the ICU, however, there is limited data to guide therapies and targets.

271 Coupled with interoperability of data to widen access to all stakeholders, seamless conne

272 ariables in cities, together with case count data, to investigate the role of climate, urbanization a

273 ature survey indicated signaling time course data usually conform to one of four curve shapes: the st

274 These data validate the accuracy and reproducibility of the qS

275 e coregistration of multimodal PET/MRI tumor data was improved by using the reverse phase encoding me

276 This data was integrated with gene expression from E2F2 knock

277 pass procedure, in which comprehensive video data was obtained.

278 From raw grayscale data, we generated graphs encoding the 3-dimensional geo

279 With these data, we investigated the level of glycan microheterogen

280 Based on CsMAF1 structural data, we propose a mechanism for how CsMAF1 represses Po

281 Using monkey and human electrophysiology data, we show here that attractor dynamics that control

282 ting multiple sources of genetic and genomic data, we show that putative G-quadruplex forming sequenc

283 Qualitative data were analysed using content analysis techniques.

284 HD-EEG data were analysed using independent component analyses,

285 of therapy (DOT) per 1,000 patient-days, and data were analyzed by an interrupted time series.

286 Data were collected between July 2006 and February 2016.

287 Demographic and clinical data were collected, including data on clinical manageme

288 vity analysis in which neonates with missing data were counted as having had a primary outcome event

289 The MD data were subsequently used to calculate time evolution

290 ype-Tissue Expression Project (GTEx) RNA-seq data were used to construct the top 10% specifically exp

291 The in-vivo metabolic data were validated by mitochondrial respirometry, enzym

292 within a quantitative framework, and analyse data where available, to consider how size affects the p

293 of spurious and deleted cut sites in the raw data, which are called Rmaps, make assembly and alignmen

294 ions of this study include potential missing data, which is in part addressed by the use of cross-mat

295 hich addresses these critical aspects of the data while maintaining computational scalability.

296 forms of research based on large amounts of data will be possible, and new research needs will be re

297 By using the MiCRM to generate synthetic data with different environmental and taxonomical struct

298 Comparisons of these collective data with histopathological evaluation of a swine model

299 of previously published blood transcriptomic data with new data from a prospective human immunodefici

300 It may model and analyse molecular marker data with or without allele dosage information, such as