ライフサイエンスコーパス: data

1 low for pre- and postprocessing of raw LC-MS data.

2 ng or contain misclassification of mortality data.

3 m with satellite observations and reanalysis data.

4 nd Prevention respiratory virus surveillance data.

5 tion to the inherent spatial aspects of such data.

6 y upload, analyze and visualize their RNAseq data.

7 lligence by discovering patterns in existing data.

8 -sustained epidemics from any viral sequence data.

9 issions (CO2, SO2, and NOX) using historical data.

10 del and Freundlich isotherm model fit to the data.

11 oses, health services utilization, and death data.

12 t transcript isoform switches in time-series data.

13 acts, read full-text articles, and extracted data.

14 tatively analyzing digital pathology imaging data.

15 ged > 65 years in 2009 using Medicare claims data.

16 icient, or early or late baseline laboratory data.

17 previously published 3.8-A resolution X-ray data.

18 ore common analytical methods used with this data.

19 ties in the 3 countries for which there were data.

20 conditions for obtaining and fitting CV-PAC data.

21 e, high-quality DNA, RNA, and drug screening data.

22 nases by (1) combining open with proprietary data, (2) choosing Random Forest over alternative tested

23 Here we present boron isotope data-a proxy for seawater pH-that show that the ocean su

24 eline-carried-forward imputation for missing data.A total of 153 participants (means +/- SDs: BMI: 33

25 n their concentrations in raw matrix and the data about the influence of cooking on antibiotics resid

26 Previously, we reported an in-focus data acquisition method for cryo-EM single-particle anal

27 High-speed high-resolution data acquisition now permits rapid measurement of the wi

28 ted neuroscience research in high-throughput data acquisition.

29 isease, but comprehensive cytokine profiling data across different clinical characteristics are lacki

30 The data also show that blocking of the Galpha13 protein fro

31 s are pledging to make code they produce for data analysis and modeling open source, and are actively

32 Data analysis revealed 1062 differentially expressed gen

33 Real data analysis showed that three of six analysed tissues

34 , the implementation of modern detection and data analysis techniques has resulted in marked improvem

35 Data analysis was performed from July to October 2015.

36 Data analysis was performed from June 1, 2016, to Septem

37 forms a starting point for further steps of data analytics and modeling of biological dynamics.

38 d demonstrated reasonable performance on our data and an independent data set.

39 but not yet standard to combine RNA-centric data and analysis tools with other types of experimental

40 ich provides a good description of empirical data and applies across a continuum of scales.

41 the study were reviewed for sociodemographic data and comorbidities.

42 nd are supported by anachronistic production data and environmental information, which cannot be rela

43 Baseline clinical data and GEP class assignments were obtained.

44 ng urban simulation models involving spatial data and its aggregation to different spatial scales.

45 Using the Global Burden of Disease study data and methods, we also quantified the burden of disea

46 Integration of omics data and RNA immunoprecipitation experiments established

47 ental potential landscape from environmental data and simulate bird movement within this landscape ba

48 nsition to a metallic state are supported by data and that the data contradict the authors' own uncon

49 We used diffusion MR imaging data and the Tract-Based Spatial Statistics analytic pip

50 Technical advances in single-cell sequencing data and their application to greater samples is reveali

51 8 and September 2014 who had preoperative CT data and tumor tissue available was studied.

52 the best possible model, given the available data and understanding of ecological structures.

53 sion, do not offer new or different climatic data, and are supported by anachronistic production data

54 Therefore, longitudinal studies and big-data approaches assessing sleep dynamics are lacking.

55 e information, videos, tutorials, and sample data are available at dmri.slicer.org Cancer Res; 77(21)

56 disease, and we offer recommendations, when data are available, for patients with other clinical ind

57 ite enthusiastic agreement that experimental data are directly relevant for determining grammar archi

58 y, comprehensive, and real-time surveillance data are essential to reduce the burden of antimicrobial

59 The data are interpreted using geometric considerations, int

60 lusions that the authors draw from their The data are perfectly compatible - in fact, much more in li

61 High-throughput sequencing data are widely collected and analyzed in the study of c

62 We tested SiNVICT on simulated data as well as prostate cancer cell lines and cfDNA obt

63 Code and data available at: majiq.biociphers.org/jha_et_al_2017/.

64 Here using a large whole-genome sequencing data bank, cancer registry and colorectal tumour bank we

65 12 were identified using the National Cancer Data Base, which includes more than 70% of patients newl

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

67 nd papillomaviruses were detected in RNA-seq data, but proportions were similar (P = .73) across all

68 ntrol drug response and illustrates how such data can add substantial confidence to target identifica

69 Incorrectly handling missing data can lead to imprecise and biased estimates.

70 me this problem by sampling more species and data cleansing.

71 Altogether, our data clearly establish that Ca(2+) entry exerts a feedba

72 ave until now relied on information based on data collected in two dimensions: either histological se

73 he breadth of data produced by NTP, the CEBS data collection component is an integrated relational de

74 cologists often use image capture to bolster data collection in time and space.

75 ndations for assessment of disease severity, data collection, and endpoint definitions.

76 ndations for assessment of disease severity, data collection, and updated endpoint definitions.

77 standardized script and mobile touch-screen data collection.

78 structure provided better overall fit to the data compared with a non-nested factor structure model.

79 Our data confirmed previously recognized aspects of post-nat

80 and structural high-resolution neuroimaging data consisting of positron emission tomography (PET) an

81 lic state are supported by data and that the data contradict the authors' own unconfirmed previous re

82 Importantly, we demonstrated how proteomics data could be readily integrated with transcriptomics da

83 The data cutoff for follow-up was May 26, 2015.

84 Collectively, these data demonstrate a FOXC1-elicited non-canonical WNT5A si

85 Our data demonstrate that barrier leakiness in asthmatic pat

86 Our data demonstrate that mTORC1-regulated autophagy is nece

87 Our data demonstrate that the reaction occurs exclusively on

88 Data demonstrated that ASP might be a valuable functiona

89 Our data demonstrates that extensive long-term culture-induc

90 A fully data-driven artificial intelligence-based grading algori

91 Here, we present a data-driven decision-theoretical model of feeding in Cae

92 with a reverse engineering approach to infer data-driven dynamic network models of multi-organ gene r

93 cal LASSO (wgLASSO) algorithm to integrate a data-driven network model with prior biological knowledg

94 For compounds with in vivo target activity data (e.g. animal toxicity testing results), the integra

95 These data emphasize that color perception involves multiple a

96 Finally, our data emphasize that sHsp chaperone efficiency depends on

97 The results appear reasonable but no data exist to compare with except those from dynamical m

98 conducted abstract and full-text screenings, data extractions, and risk of bias (ROB) assessments.

99 hemical information that can supplement IVUS data for a comprehensive assessment of plaques pathophys

100 Contemporary data for causes of vision impairment and blindness form

101 onfounders and normalizing the residual load data for each country, we estimate a common dose-respons

102 Using available data for Escherichia coli protein solubility in a cell-f

103 mited assumption and largely rely on in vivo data for parametrization.

104 e (WRA) (age range: 15-49 y).Cross-sectional data for PSC (8 surveys; n = 8413) and WRA (4 surveys; n

105 sible biopsy samples, high-quality molecular data for psoriasis patients are widely available.

106 sing multigenerational cell growth and shape data for single Caulobacter crescentus cells.

107 ysis of single-nucleotide polymorphism (SNP) data for Spanish teosinte, sympatric populations of cult

108 733 employees) in the control group provided data for the primary analysis.

109 Hence, all the data for variance as a function of mean expression colla

110 Data from 1 310 727 examinations (analyzed by using SAS

111 We analysed data from 14 adult males with adult cerebral adrenoleuko

112 Here we use resting-state fMRI data from 176 subjects to show that signals from the hum

113 Rican Hispanics.We analyzed cross-sectional data from 1932 case subjects with a first nonfatal MI an

114 We analyzed WGS data from 20 historical outbreaks and applied phylogenet

115 hods We used National Health Interview Study data from 2000, 2005, 2008, 2010, 2013, and 2015 to exam

116 over 7 years (2004-2011), and validated with data from 2012 to 2015.

117 Individual data from 2092 patients with enteric fever randomized in

118 Library, and Scopus databases and extracted data from 24 qualified RCTs.

119 We examined baseline data from 3,987 subjects without diabetes in the Progres

120 itis-associated variants using existing GWAS data from a German case-control sample of aggressive per

121 fferent perspective on this issue, analyzing data from an influential study reporting a median power

122 Individual patient data from each eligible study were requested from the au

123 Combining data from genome-wide association studies from multiple

124 ating gene and microRNA expression profiling data from hearts of T. cruzi infected mice.

125 th Risk Behavior Surveillance System (YRBSS) data from January 1, 1999, to December 31, 2015, which a

126 ie Delta, Canada, based on airborne CH4 flux data from July 2012 and 2013.

127 Scientific Registry of Transplant Recipients data from June 2013 to June 2015, we identified 1768 DD

128 Mental State Examination [MMSE] </=25) using data from nine cohorts of patients with Parkinson's dise

129 mation with clinic records, and lack of cost data from other case-finding approaches commonly used in

130 ir cytoplasmic and nuclear accumulation, and data from quantitative PCR analysis closely recapitulate

131 ession projects, GXD collects and integrates data from RNA in situ hybridization, immunohistochemistr

132 nalysis of in vivo two-photon Ca(2+) imaging data from somatosensory cortex of Fmr1 knock-out (KO) mi

133 Based on data from the 1990s, estimated prevalence of obstructive

134 Post hoc analysis of data from the 36-month prospective, randomized, FAME A a

135 To use data from the Pediatric Contact Dermatitis Registry to e

136 In the analysis of published genotype data from the Simons Simplex Collection (SSC) and the Au

137 is challenging and there is currently little data from the wild.

138 Our study used SA-NIDS data from three waves: wave 1 (2008), wave 2 (2010), and

139 Our data further demonstrate the importance of Vascular Endo

140 The data generated by sci-RNA-seq constitute a powerful reso

141 The data generated from integrated livestock monitoring is a

142 at are strongly nonlinear.The huge amount of data generated in fields like neuroscience or finance ca

143 Salmon and Kallisto TPM data gives the best fit to the linear model studied.

144 However, quantitative analysis of IT data has been hindered by the piecemeal development of r

145 evelopments a vast amount of high-throughput data has been profiled to understand the mechanism of co

146 Recent data have demonstrated the potential of sphingosine 1-ph

147 Phenological data have generally been treated as purely temporal, wit

148 que sensitivities to a mutation in fgf8a Our data highlight novel aspects of SHF, OFT and HM developm

149 Our data identify Gag-protease as a major determinant of sub

150 Altogether, these data implicate YAP1 as a fluid mechanosensor that functi

151 d be readily integrated with transcriptomics data in standard annotation tools.

152 orientation in the enzyme and we analyse the data in terms of a two-state equilibrium between compact

153 Our data indicate that Ct infection of ESC impairs deciduali

154 -7), and cyclin D1in vitro and in vivo These data indicate that Gab2 mediates the pathologic progress

155 Taken together, these data indicate that loss of DDRGK1 decreases SOX9 express

156 Together, these data indicate that neuron-derived E2 modulates synaptic

157 Together these data indicate that phosphorylated cortactin recruits Vav

158 Our data indicate that SOCE and KATP channel activity are re

159 Our data indicate that stress-associated suicide risk is ele

160 These data indicate that transmitted viruses are phenotypicall

161 n of Sp1 modules with genomic and epigenomic data indicates epigenetic control of Sp1 targets' expres

162 Despite emerging data indicating a role for T cells in profibrotic cardia

163 Through data integration and quality control, we provide a score

164 d best practices that facilitate large-scale data integration.

165 Convenient and intuitive data interfaces are critical for researchers to easily u

166 photon-number image irrespective of how the data is collected.

167 ic shedding using commonly collected disease data is hampered by numerous challenges, including short

168 analyzing high-dimensional and heterogeneous data is how best to interrogate increasingly specific su

169 te regimes and identify where coarse climate data is most and least likely to reduce the accuracy of

170 ext search and indexing system with powerful data navigation and retrieval capabilities.

171 The study included the data of 2233 subjects who experienced either in-hospital

172 is study, based on three national serosurvey data of hepatitis B in China, we propose an age- and tim

173 ovides an excellent fit for the experimental data of liquid argon, for a range of thermodynamic condi

174 i noline is reported, the (1)H and (13)C NMR data of which are in excellent agreement with those of (

175 ta-analyses of genome-wide association study data on 2080 cannabis-dependent cases and 6435 cannabis-

176 ort Study (SJLIFE) retrospectively collected data on CHCs in all patients treated for childhood cance

177 pical forests, especially when combined with data on edaphic conditions and other environmental drive

178 proved only modestly by including additional data on foliar P, but doing so may increase the capabili

179 ) and 350 girls (63.9%) in the non-AD group (data on gender identification were missing for 17 patien

180 Individual patient data on SAEs, assigned drug and dosing regimen, and base

181 who underwent reoperation and had available data on the date of their initial cholecystectomy were i

182 ous variation in running among friends, with data on the network ties and daily exercise patterns of

183 t de novo linkage maps on 7-12x whole-genome data on the Red postman butterfly (Heliconius erato) wit

184 myocardial thickening with, however, scarce data on their head-to-head comparison.

185 rrelated with those based on neutral genetic data (on average r = 0.574, p < 0.001).

186 ociation studies of local adaptation combine data over populations.

187 networks from co-occurrence and time series data, particularly in microbial systems.

188 s are a key Antarctic indicator species, but data patchiness has challenged efforts to link populatio

189 pite the ubiquity of mass spectrometry (MS), data processing tools can be surprisingly limited.

190 To accommodate the breadth of data produced by NTP, the CEBS data collection component

191 Moreover, our data provide a framework for the simultaneous formation

192 Together, these data provide important mechanistic insights into the act

193 Together, these data provide mechanistic insight into the regulation of

194 Furthermore, our data provide new insights into microtubule regulation du

195 Malaria surveillance data provide opportunity to develop forecasting models.

196 Collectively, these data provide proof of concept that targeting thrombin or

197 Additionally, in vivo findings support our data, providing evidence that LDR is a promising option

198 requency and B0 shim changes, and effects on data quality during real-time-corrected three-dimensiona

199 el showed an almost 2-fold better fit to the data (R2 = 9.2% vs 4.9%).

200 This analysis used all data received at NRG Oncology through April 12, 2015.

201 We analyzed global monitoring data reported during the first two decades of transgenic

202 To fully dissect this data requires the development of stochastic models that

203 cribe the diverse experimental variables and data resided in the EMBL-EBI resources.

204 Our data reveal 2D dynamics of the mitochondria, plasma memb

205 These data reveal a mechanism for the involvement of this regi

206 These data reveal an essential role for n1-src in amphibian ne

207 Together, our data reveal an HSPG-dependent pathway that specifically

208 Thus, our data reveal an important mechanism of how p97 maintains

209 Published data reveal TET2 binding sites and hydroxymethylcytosine

210 Collectively, these data reveal that mammalian RNAs can harbor a 5' end modi

211 Our data reveal that tissue and stage-specific expression of

212 ascinating problems for future research, the data revealed a YtfE orthologue, Ddes_1165, that is impl

213 power and speed of computers, with the "big data" revolution having already happened in genomics and

214 y cohorts (one discovery and one replication data set).

215 In the simulated data set, our workflow recovered 96% of simulated SVs.

216 e performance on our data and an independent data set.

217 e, we discuss ways we can leverage molecular data sets to develop new hypotheses for disease mechanis

218 Acquisition of iso-volumetric data sets with instillation of contrast into the fistula

219 by the special opportunities associated with data sets, nearly all of which have been observational,

220 decisions, and should be evaluated in larger data sets.

221 ning methods, and (3) balancing the training data sets.

222 bination of time-activity and meteorological data sets.

223 a, we hope that this system will help enable data sharing and reanalysis in the metabolomics field.

224 supplemented by therapeutic drug monitoring data should be embedded into daily practice.

225 Conclusion These data show no overall evidence of improved survival with

226 The ESM data show that poly(3-hexylthiophene) electrochemical de

227 Collectively, these data show that ROCK2 activation induces malignancy in ra

228 Our data show that the position occupied by W972 within WT A

229 Our data show that Troy marks a renal stem/progenitor cell p

230 These data show the versatility of NB-LRR genes to generate re

231 The data shows a number of absorption bands that are assigne

232 Next, we provide an overview of data sources available for wealth research.

233 nal and high-dimensional nature of microbial data, statistical inference cannot offer reliable result

234 All of our experimental data stay within these physical boundaries over six orde

235 The complexity of the HRMS data stems partly from the presence of isotopes that giv

236 ssociation analysis due to the similarity in data structure of these two types of researches.

237 lysis tools with other types of experimental data such as RNA-seq or ChIP-seq.

238 Our clinical and experimental data suggest a correlation between age at disease onset,

239 Our data suggest a highly disordered CUB, which has acquired

240 Routine aggregate data suggest a large treatment gap (pre-treatment loss t

241 cts remains to be confirmed, the radiocarbon data suggest an increase in the efficiency of the biolog

242 These data suggest H3-G34R slows resolution of HR-mediated rep

243 Data suggest selective internal radiotherapy (SIRT) in t

244 Overall, our experimental data suggest that CLIP170 serves as an intrinsic negativ

245 ively phosphorylated in the misS mutant, the data suggest that controlled but not constitutive activa

246 Overall, our data suggest that CT-optimal, affective touch enhances s

247 Together, these data suggest that differences in DNA methylation may par

248 Combined, these data suggest that during carcinogenesis pERK initially f

249 These data suggest that it is possible to discriminate between

250 Our data suggest that nivolumab is active in relapsed/refrac

251 These data suggest that resistance to BRAF or MEK inhibitors i

252 Our data suggest that SERPINA3 may be involved in the pathog

253 Recent data suggest that some L1 protein may accompany the vira

254 Our data suggest that the decay of platelet mRNAs is slowed

255 Together, our data suggest that the heptad repeat LIZ contributed to T

256 Data suggest that the prediction of adult cardiovascular

257 These data suggest that zinc may inhibit cell proliferation of

258 Altogether, the data suggest that, regardless of the soil conditions, tr

259 iated mechanism; pharmacological and genetic data suggest the importance of delta-opioid receptors.

260 Available data suggests that double mutations in patients with hyp

261 Our data suggests that mouse behavior and EEG recordings are

262 Our data suggests that RARgamma initiates the formation of d

263 lization, which, together with the signaling data, suggests that the microtubule cytoskeleton may fac

264 These data support ongoing efforts to centralize care for pati

265 These data support that SMN:HuD complexes are essential for no

266 Our data support the hypothesis, in a subpopulation of patie

267 ording to the Prostate Imaging Reporting and Data System (PI-RADS) version 2; only thereafter, the re

268 As a result of the differences in spectral data, the incorrect structural assignment of the natural

269 Our data thus reveal a novel function for Nesprin-1alpha/Nes

270 marily because of the size and volume of the data to be processed, but also because it ensures standa

271 cal activity culture from geolocated Twitter data to examine the relationship between these neighborh

272 translating high-throughput screening (HTS) data to human relevance have been limited.

273 Here, we use mobile phone data to quantify seasonal travel and directional asymmet

274 nce calls for effective strategies that mine data to reveal underlying dynamics.

275 lexibility to capture any type of electronic data (to date).

276 ully parameterized with experimental imaging data, to describe doxorubicin uptake and predict subsequ

277 o analyze high-dimensional gene perturbation data, to incorporate logical functions that describe int

278 ssical optical communication to increase the data transmission capacity.

279 t NGSCheckMate is effective for a variety of data types, including exome sequencing, whole-genome seq

280 These data uncover a direct role for RANK in lung cancer and m

281 idence for the existence of g when analyzing data using a mixed approach, that is, when comparing ind

282 er, and tissue from textual metadata and GEO data using both a heuristic approach as well as machine

283 rithm will optimize the extracted biological data using in vitro-in vivo correlations.

284 nded X-ray absorption fine structure (EXAFS) data using reference organic ligands demonstrated that F

285 These data verify that a gastight environment is maintained ev

286 Using commercial laboratory data, we found 80% of 29382 young persons currently infe

287 By simplifying access to metabolite data, we hope that this system will help enable data sha

288 The data were analyzed from September 2014 to November 2015.

289 man v2 miRNA microarray array and expression data were analyzed on nSolver analysis software.

290 PET data were analyzed using plasma and reference tissue-bas

291 Collected data were based on 156 implants with an average of 6.5 +

292 cs, medical history and HIV-related clinical data were collected.

293 Updated survival data were correlated with clinical and molecular factors

294 Data were extracted by investigators from each cohort in

295 The aggregation kinetics data were in good agreement with the classic Derjaguin-L

296 Postmortem tissue and clinical data were provided by the Oregon Health and Science Univ

297 These data were translated by assessing human neutrophil-endot

298 ed performances of the MDSeq using simulated data when the ground truths are known.

299 on effects by combining daily global weather data, which creates exogenous variation in running among

300 ogeneous systems by integrating experimental data with a priori information.