ライフサイエンスコーパス: data set

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

2 cancer cell lines and applied CERES to this data set.

3 ubmitted for 51 466 patients in the pharmacy data set.

4 n Evaluation of Cancers of the Thorax) NSCLC data set.

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

6 al was also significant in each contributing data set.

7 Scientific Registry of Transplant Recipients data set.

8 pplied this method to the TCGA breast cancer data set.

9 l and on an internal and external validation data set.

10 was biologically validated in an independent data set.

11 attributes are stored and collected for the data set.

12 fixed cells to provide a large and detailed data set.

13 lidated in a similar analysis of an external data set.

14 in the cell line panel and in a human tumor data set.

15 strains and to compare results for the four data sets.

16 limiting their application to small, single data sets.

17 at combined case-control and cross-sectional data sets.

18 portant information from complex biochemical data sets.

19 t to be applied easily to other large fossil data sets.

20 d increased the concordance with post-mortem data sets.

21 be applied to study PC development in large data sets.

22 oach for investigating novel aspects of eQTL data sets.

23 y of the method is validated using simulated data sets.

24 y, validate and quantify peptidoforms in DIA data sets.

25 quencing data sets and 637 methylation array data sets.

26 hallenges in applying this approach to large data sets.

27 framework with applications to two empirical data sets.

28 verified in several independent public ccRCC data sets.

29 a variety of germline, cancer and stem cell data sets.

30 = 33820) or external validation (n = 54716) data sets.

31 711) and out-of-sample replication (n = 477) data sets.

32 om comorbidity data recorded in longitudinal data sets.

33 tions and real iCLIP and single-cell RNA-seq data sets.

34 classifier design using small, unstructured data sets.

35 t biological knowledge from high-dimensional data sets.

36 roblems with use of other publicly available data sets.

37 om the modENCODE consortium and other public data sets.

38 probabilities using analysis of hydrological data sets.

39 onsensus transcriptome from multiple RNA-seq data sets.

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

41 for animal model analyses of wild population data sets.

42 ss of the Bayesian approach for the sparsest data sets.

43 We fit our model to two data sets.

44 e determination of somatic variants in these data sets.

45 nisms, some patterns emerge from these large data sets.

46 e significance that replicate in independent data sets.

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

48 rocessing large immune repertoire sequencing data sets.

49 bination of time-activity and meteorological data sets.

50 HRGP classes in existing and emerging omics data sets.

51 of adding sequenced genomes to transcriptome data sets.

52 deAtlas releasing the results of reprocessed data sets.

53 of interest and excellent coregistration of data sets.

54 T for accuracy and reliability using several data sets.

55 enced 10x Genomics sarcoma and breast cancer data sets.

56 c resonance imaging scans were obtained from Data set 1: 155 patients with schizophrenia (mean durati

57 (P<0.05) in an independent post-mortem DLPFC data set (182 schizophrenia and 212 control subjects), a

58 re chronic and ill schizophrenia patients of Data set 2.

59 ess of 7 years) and 79 healthy controls, and Data set 2: an independent cohort of 46 schizophrenia pa

60 In an independent data set, 2 of 9 (22.2%) ERBB2/HER2-negative BrCa switch

61 ng of the Sanger sequences and WGS data from data set 3 were in complete agreement.

62 reveals novel variants, missed in short-read data sets, a large proportion of which are retrotranspos

63 nerating accurate segmentations of large MSI data sets acquired on the newest generation of MSI instr

64 bDEMC 2.0 documents 209 expression profiling data sets across 36 cancer types and 73 subtypes, and a

65 Mining available gene expression data sets allowed to observe that high co-expression lev

66 A systematic data set allows for constraining both thermal conductivi

67 ations of training on available experimental data sets, alternative approaches that utilize propertie

68 recordings (1.5 ppm tolerance) of the LC-MS data set and filtering procedures.

69 r analysis of The Cancer Genome Atlas (TCGA) data set and observe that bi-allelic pathogenic alterati

70 -species 210-genome 96-sample synthetic mock data set and then applied it to the Tara Oceans microbio

71 reduced-representation bisulfite sequencing data sets and 637 methylation array data sets.

72 trated on simulated data, various biomedical data sets and a clinical data set, to which diverse ML m

73 Clinical data sets and an in vivo tumor model indicate that PPARg

74 These data sets and analyses serve as a foundation for deeper

75 We tested LAIT using both simulated and real data sets and demonstrated that LAIT provides convenienc

76 se alterations in multiple independent HNSCC data sets and show that, along with previously described

77 dure on three experimental and 300 simulated data sets and showed that it provides robust fits of the

78 ogic studies are reproducible include making data sets and software available to other researchers so

79 hich decreases the sizes of the intersecting data sets and the potential for biological insights.

80 Here we analyze public data sets and uncover a previously unappreciated role of

81 ysis of 61 whole-genome bisulfite sequencing data sets and validation with 101 reduced-representation

82 eam analysis of large, heterogeneous RNA-Seq data sets and we demonstrate its use with data from the

83 orrelations was generally reduced in imputed data sets, and this effect increased with the amount of

84 demonstrated in 27 independent breast cancer data sets, and through visualization of the data in the

85 The data sets are a resource for a wide range of studies and

86 classification to multinomial mixtures where data sets are both small and unlabeled, enables superior

87 er molecules inside the pore, both LT and RT data sets are consistent with the positions observed in

88 , and its implementation for several RNA-Seq data sets, as well as the whole genome sequencing data t

89 tain multidetector computed tomographic (CT) data sets at multiple radiation exposure levels within t

90 and validated to synthesize multidetector CT data sets at multiple radiation exposure levels within t

91 This provides new 3D floc geometric data sets at the nanoscale that will be critical in the

92 Two experimental data sets available from different studies can be descri

93 tation and by using a refined, more reliable data set, based on a new release of the ProNIT database,

94 cialists determined the ground truth for our data set before experimentation.

95 Machine Learning Repository, and a clinical data set built to determine suicide risk from the langua

96 conclude with a discussion of how synthetic data sets can be used by researchers with cancer registr

97 xomes sequenced, and access to the resulting data sets can provide valuable information for variant i

98 MD in African American and European American data sets collected as part of the Yale-Penn study of th

99 Analysis of EBV PAR-CLIP miRNA targetome data sets combined with pathway analysis revealed multip

100 redictive deep neural network on the lincRNA data sets compared with support vector machine and tradi

101 phylogenetically informed framework using a data set comprising > 216 000 world-wide observations of

102 We use a 60-year ocean basin-wide data set comprising >148,000 samples to reveal huge diff

103 However, projects are generating ever-larger data sets comprising RNA-Seq data from hundreds or thous

104 We demonstrate the approach on different data sets containing RNA-seq gene transcripton and up to

105 The algorithm is applied to bacterial data sets containing up to nearly 2000 genomes with seve

106 ed prediction models by means of an election data set covering 86 countries and more than 500 electio

107 tative SSP genes based on 144 RNA sequencing data sets covering various stages of macronutrient defic

108 A large scale example on a 1000 sample data set demonstrated a 10000-fold time savings, reducin

109 Here we analyse an unprecedented data set derived from 274 rod surface-elevation table-ma

110 In an independent transcriptomic data set derived from 703 primary melanomas, we showed t

111 In a metabolomics data set derived from approximately 3000 human plasma sa

112 Data sets describing the main types of ion channels that

113 Here, we combined several global data sets describing these drivers with a soil P dynamic

114 Our combined data sets enabled us to identify new candidate DCV compo

115 Statistics' period linked birth/infant death data set files for 2007-2013 for 26546503 US births thro

116 We provide a bias corrected (*) Pic du Midi data set for 2012-2014 that shows GOM* and RM* levels in

117 ramework on a comprehensive miRNA expression data set for alcohol dependence and identify the causal

118 used on a comprehensive and well-documented data set for bromamine decomposition, allowing new inter

119 We compiled a global data set for carbon and helium isotopes from volcanic ar

120 The project produced a large data set for further investigation of coreference and co

121 Using a heart failure data set for illustration, a model with random effects f

122 g and archiving and a globally comprehensive data set for onward use by the scientific community.

123 d present the first comprehensive Pb isotope data set for that region.

124 We generate a data set for this purpose using (1) de novo mutations fr

125 cells, we generated 63 chromatin interaction data sets for 37 active DNA regulatory elements that col

126 imputation is often used to create complete data sets for analysis.

127 peptide migration standards, collect larger data sets for modeling through the alignment of multiple

128 Here we use three source time function (STF) data sets for subduction zone earthquakes, with moment m

129 n gland tumor experiment, the only extensive data-set for dose response modelling with a variety of p

130 We performed HC in a rich data set from 613 asthmatic children, using 45 clinical

131 Third, we apply these models to a data set from an experiment with three mixed blocks of p

132 rediction was validated using an independent data set from England and Wales.

133 Conclusion In a large data set from patients with cancer, BSA-adjusted CKD-EPI

134 l tumors for 11 of 12 single-cell sequencing data sets from a variety of human cancers.

135 We evaluated ExRANGES in five data sets from different model systems.

136 Several different data sets from Europe deliver comparable results at diff

137 nsolved problems now yielding to much larger data sets from high-throughput sequencing.

138 unity from publicly available gut metagenome data sets from human populations with different geograph

139 These include: deposited data sets from neglected disease screening; crop protect

140 Here we exploit representative whole-genome data sets from six diverse bacterial species: Staphyloco

141 Longitudinal cohort study using harmonized data sets from the British 1946, 1958, and 1970 national

142 A user-friendly web database populated with data sets from The Cancer Genome Atlas (TCGA) is provide

143 mpared with measured water concentrations in data sets from the greater Denver area, Minnesota lakes,

144 ing simulated classifier outputs, biomedical data sets from the University of California, Irvine (UCI

145 ithms and a data repository consisting of 13 data sets from various microscopy modalities, the challe

146 cancer molecular profiles, including genomic data sets, from four patient cohorts identifying lncRNA

147 We further applied the mmLD to a public data set, 'GAW17', to investigate its applicability.

148 The algorithm was tested with data sets generated from spiked samples in forensic and

149 Large genomic data sets generated with restriction site-associated DNA

150 The extended size of the data set (>4000 peptides) permits access to many sequenc

151 Technical advances and large-scale data sets have allowed for the development of models cap

152 ree-dimensional (3D) biomolecular structural data sets have been hindered by the geometric and biolog

153 More than 4500 data sets have been submitted to the various PX resource

154 Publicly available data sets hold much potential, but their unique design m

155 Glycoforest was tested on two data sets (human gastric and salmon mucosa O-linked glyc

156 We exploited three of these data sets-human primary Mvarphis infected with the commo

157 the kauri and Atlantic marine sediment (14)C data sets, implying limited changes in deep water format

158 Designing a data set in which the steric and electronic properties o

159 and committed states in single-cell RNA-seq data sets in a non-biased manner.

160 s that are performed and evaluate large GWAS data sets in a reasonable amount of computation time.

161 thm to multiplexed droplet-based digital PCR data sets in both EvaGreen and probes-based schemes, and

162 d evaluated with hypertension and two cancer data sets in our study.

163 ght opportunities for researchers to use big data sets in the fields of gastroenterology and hepatolo

164 The data set included fluorescence EEMs from 291 untreated,

165 ventory calculations, a harmonized inventory data set including both nominal and uncertainty data is

166 In one data set, including traits eliminated all phylogenetic s

167 ian approach is demonstrated on a variety of data sets, including simulated classifier outputs, biome

168 ated in breast cancer; interrogation of TCGA data set indicates that upregulation of DHX9 in breast c

169 sis (n = 52 of 1001; 5.19% in the derivation data set), indicating the need for transdiagnostic predi

170 We used samples from three Nordic data sets (involving a total of 8643 women) to test for

171 he most complex version of the model to this data set is only a couple of minutes.

172 tion of complete filament networks from such data sets is challenging.

173 ectories of the Global Drifter Program (GDP) data set, it was found that oceanic eddies are asymmetri

174 h expression level, and that in human tissue data sets, MAE genes show increased expression variabili

175 a large collection of public mass cytometry data sets, measuring intra-cellular signaling proteins o

176 The Cancer Genome Atlas (TCGA) breast cancer data set (n = 1215) to calculate previously described im

177 nting and model-based control in a large new data set (n = 168).

178 st training sample was collected (validation data set, n = 380).

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

180 Here we exploit a bidecadally resolved (14)C data set obtained from New Zealand kauri (Agathis austra

181 re was no significant difference between the data sets obtained from both methods, indicating no in v

182 an OS tumor cohort and in 15 different tumor data sets obtained from The Cancer Genome Atlas.

183 en urban form and air pollution for a global data set of 1274 cities.

184 ghput sequencing to assemble and interpret a data set of 143 mammoth mitochondrial genomes, sampled f

185 tion methodologies using an aquatic toxicity data set of 3448 chemicals, compare the approaches, and

186 Using this protocol, a data set of 360 images with approximately 2,000 reflecti

187 association is replicated in an independent data set of 369 autopsies.

188 A retrospective reading data set of 7060 cases was created and randomly allocate

189 We analyse a global data set of 99 mammals that have been categorized as ext

190 We apply this technique to a large data set of Illumina and PacBio sequences from the speci

191 CA, developing the largest urban air quality data set of its type.

192 and Markov state model analysis to a 50-mus data set of molecular dynamics trajectories of the human

193 Predictions were evaluated on an exceptional data set of plankton with 15 years of weekly samples enc

194 ing Machine Learning methods on an extensive data set of proprietary bioactivity data combined with o

195 melanogaster, first generating our own novel data set of sequenced MA lines and performing a meta-ana

196 Here we provide a comprehensive data set of the human HNSCC-associated fibroblast matris

197 NAP participants and nonparticipants.Using a data set of US households' (n = 98,256 household-by-quar

198 CSReport was assessed using simulated data sets of CSR junctions and then used for analysis of

199 system in the acquisition of high-resolution data sets of dynamic samples.

200 n tumors detected tissue-specific and shared data sets of known and candidate genes involved in cance

201 expression data and compares them with large data sets of normal expression profiles compiled from pu

202 t a complementary statistical analysis of 13 data sets of phytoplankton and periphyton communities ex

203 We leverage large data sets of smoking behavior, lung function and COPD, a

204 The first 217 data sets of the largest NOTES registry worldwide-the Ge

205 de genotypic and phenotypic measures from 14 data sets of the Psychiatric Genomics Consortium.

206 British Cardiovascular Intervention Society data set on all CTO-PCI procedures performed in England

207 statistical analyses of a spatially resolved data set on cod eggs covering a period (1959-1993) with

208 MM, and BOLT-LMM, we investigate an existing data set on eye (n = 625) and skin (n = 684) color from

209 SLIP yields rich data sets on cell morphology and gene expression that il

210 Application to several large-scale screening data sets on nuclear and mitotic cell morphologies demon

211 ysis includes 1 of the largest patient-level data sets on treatment of DME with ranibizumab.

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

213 successfully simulate the entire adsorption data set over all uranium loadings, pH values, and disso

214 lity (CP) plots for spatially representative data sets, preferably containing >1000 determinations.

215 A phenotypically rich data set provides a psychiatrically well-characterized s

216 Our data set provides a rich resource for future computation

217 ll samples in the calibration and validation data sets, providing 100% prediction accuracy.

218 thods, but it requires making original study data sets publicly available.

219 This data set, representative of an entire industrialized cou

220 nal Cardiac Arrest Registry), an 87-question data set representing 44 centers in the United States an

221 We find that analysis of large RNA-Seq data sets requires both careful quality control and the

222 prediction in three independent, age-matched data sets, respectively.

223 sed principal component analysis of the same data set revealed that dopaminergic modulation activates

224 sion analysis of The Cancer Genome Atlas AML data set reveals that GLI3 expression is silenced in mos

225 Applied to published TI-seq/rRibo-seq data sets, Ribo-TISH uncovers a novel signature of eleva

226 The applied constraints on chemical data sets should be derived from the physical nature and

227 The behavioral-health and neuroimaging data sets showed significant interdependency.

228 nnotator in an untargeted metabolomics human data set shows that 80% of features with high or medium

229 ; chemical formula; collision cross section] data sets shows that the WAF composition changes as a fu

230 take high-precision alignment of key climate data sets spanning iceberg-rafted debris event Heinrich

231 ponse in very large clinical cancer genomics data sets, such as The Cancer Genome Atlas (TCGA).

232 RNA contamination, no published genome-wide data set supports the concept of delayed paternal genome

233 Using a large olfactory psychophysical data set, teams developed machine-learning algorithms to

234 gical diffusion can be implemented for large data sets that are distributed densely across space and

235 iven the availability of two tracer exchange data sets that explore pH and particle size effects, we

236 Using data sets that quantify the adsorption of U(VI) to multi

237 es in scenes from a standard computer vision data set (the PASCAL VOC 2007 dataset).

238 For all three data sets, the leading mode of variability of global sea

239 Using these data sets, the Stochastic Human Exposure and Dose Simula

240 Using these data sets, the Stochastic Human Exposure and Dose Simula

241 eanalysis of a published genetic and genomic data set through iFORM/eQTL gain new discoveries on the

242 We used ADR quintiles in the whole data set to categorize the annual ADRs for each endoscop

243 e linked the United States Renal Data System data set to Medicare claims to estimate cumulative costs

244 We use a microsatellite data set to test hypotheses of population connectivity a

245 each unfolded form observed in our gas-phase data set to the disruption of specific domains within th

246 approach to examine the potential for RADseq data sets to accurately estimate effective population si

247 ed in this review, is the use of preexisting data sets to address questions in ecology.

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

249 We used existing data sets to estimate the population exposed to IWS, ass

250 HCA algorithms were performed on all of the data sets to explore the relationships between, and natu

251 of analyzing and exploring high dimensional data sets to generate hypotheses and discovering novel i

252 enable institutions handling massive genomic data sets to shift part of their analysis to the cloud w

253 various biomedical data sets and a clinical data set, to which diverse ML methods are applied.

254 ex examples, along with programming code and data sets, to show how Bayesian analysis takes evidence

255 s of 11 genome-wide association case-control data sets, totalling 17,045 endometriosis cases and 191,

256 amples in dropdowns for navigation among the data sets, utilizes human-readable configuration files t

257 The data set was compiled by the Delaware Atmospheric Deposi

258 The Nationwide Emergency Department Sample data set was examined for temporal trends in the number

259 among more than 23 million people, a custom data set was obtained using the data of all patients hav

260 hospholipids present in human serum, and the data set was used to evaluate the value of product ion m

261 Single Ventricle Reconstruction Trial public data set was used.

262 ngly associated with signature 3 and, in our data set, was highly enriched in basal-like breast cance

263 idates, which did not appear in the training data set, was validated in a previous research work.

264 In the combined Icelandic and Danish data sets we observe significant association of intronic

265 Based on this data set, we completed a detailed quantitative analysis

266 By synthesizing a panchromatic data set, we demonstrate that merging neutron stars are

267 Through the use of a simulated data set, we first show that our method, based on beta-b

268 With this data set, we identified 26 female-specific RAD loci, put

269 Using a marine algae data set, we show that quantification of fragment ions e

270 Using these benchmark data sets, we carried out a systematic evaluation of ten

271 Using very high-resolution spatial data sets, we evaluated the capacity of Iran's land for

272 Examining publically available human data sets, we found that high LDLR expression in human b

273 By applying CaTCH to published Hi-C data sets, we show that previously reported folding laye

274 yzing over 23,000 publicly available RNA-Seq data sets, we show that Tradict is robust to noise and a

275 These data sets were acquired by different cameras, camera pla

276 fluence wider genome organization, our DamID data sets were contrasted with TADs and compartments.

277 Data sets were drawn from case-control, cohort, and popu

278 Homogeneous data sets were pooled in case-control analyses, and logi

279 Individual data sets were standardized and merged into a BRINDA dat

280 , predictive variables available in national data sets were used to estimate high arsenic in unsample

281 A total of nine independent data sets were used to parameterize the model.

282 s, which compare the distributions of entire data sets, were used to determine if the ammonia removal

283 esting issue, we implement filters to remove data sets where the hypotheses to be tested cannot achie

284 d MetaboDIA to a clinical serum metabolomics data set, where we built a DDA-based spectral library co

285 The increased size of data sets will also permit investigation of the fine-sca

286 Taken together, these data sets will enable us to uncover the most critical ge

287 donor and recipient factors, based on local data sets, will be more beneficial in the Australian con

288 Comparison of the Hadza data set with data collected from 18 populations in 16 c

289 we cannot find empirical support in a large data set with data-driven analyses.

290 and more than 500 elections, and a separate data set with extensive polling data from 146 election r

291 es at the single-molecule level, providing a data set with large sequencing depth for the characteriz

292 For the 10 LC-MS(2) DDA data sets with > +/-1 Da isolation windows, the median p

293 ced prostate cancer in 18 available clinical data sets with a total amount of 1,095 prostate samples.

294 sting methods on both a variety of synthetic data sets with a wide range of settings, and three real

295 We combined these data sets with additional 32 modern-day and 46 ancient h

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

297 y, we reanalyzed data from seven independent data sets with totally 1079 breast cancer patients.

298 d was most influenced by the size of the SNP data set, with 25,000-50,000 SNPs required for accurate

299 After recalculating MDD PRS using MDD GWAS data sets without comorbid MDD-AD cases, significant evi

300 sembly from a 90x coverage whole-genome Hi-C data set yielded high-resolution haplotypes (78.6% of va