ライフサイエンスコーパス: dataset

1 where missing data were generated (simulated dataset).

2 omputer vision data set (the PASCAL VOC 2007 dataset).

3 as then assessed using a separate validation dataset.

4 ible when calculated from a truncated 20-min dataset.

5 racted from the New York City taxicab public dataset.

6 a potential source of false positives in one dataset.

7 han region-of-origin within the multi-region dataset.

8 traction of the different models on the same dataset.

9 o results of previous studies using the same dataset.

10 SHM is adapted to deal with imbalance of the dataset.

11 and accuracy when tested on the standard KLH dataset.

12 esophagectomy, using a large, hospital-based dataset.

13 argest published microbial 16S rRNA sequence dataset.

14 ate-of-the-art method based on the benchmark dataset.

15 variants in CGC genes and across the entire dataset.

16 same method to a sub-dataset of the original dataset.

17 publicly available transcriptional profiling datasets.

18 oved, evaluated, and adapted to handle large datasets.

19 ubstantial improvement on multiple empirical datasets.

20 earning system for digital pathology imaging datasets.

21 d list of gene symbols with 16,231 published datasets.

22 the highest AUC among the 7 methods on all 4 datasets.

23 distribution, and our model reproduces these datasets.

24 re assessed across four checkpoint inhibitor datasets.

25 re significant compounds in three biological datasets.

26 in maize (Zea mays), mostly using microarray datasets.

27 of tissue (invasive) and stool (noninvasive) datasets.

28 ncreased linearly across the lifespan across datasets.

29 f 4 x 10(-6) ) by meta-analysis of the three datasets.

30 support for examining and comparing IMG/M's datasets.

31 specific expression (ASE) in complex RNA-seq datasets.

32 as also observed in human HCC cell lines and datasets.

33 lation studies and joint analysis of 18 GWAS datasets.

34 s on both synthetic and real gene expression datasets.

35 ortical neuropil, plausibly even whole-brain datasets.

36 d nonsimultaneously recorded corticostriatal datasets.

37 les efficiently to high dimensions and large datasets.

38 ion Atlas and upload and analyze their Omics datasets.

39 is reflected in large neuroblastoma patient datasets.

40 n multiple observational surface temperature datasets.

41 s could not be directly applied on biobricks datasets.

42 e Database (IEDB) weekly automated benchmark datasets.

43 landmarks on the generated and acquired MRI datasets.

44 gging and Gentle Boost on various real-world datasets.

45 genes identified in The Cancer Genome Atlas datasets.

46 disease inheritance modes for all validation datasets.

47 visualizing high-dimensional flow cytometry datasets.

48 tuning parameters for different domains and datasets.

49 ed, human specific, experimentally validated datasets.

50 was validated in 19 ccRCCs and three public datasets.

51 pproach was applied to 1,020 patients from 7 datasets.

52 ned for analysing noisy and high-dimensional datasets.

53 e number of published studies with deposited datasets.

54 ion of chromatin accessibility from ATAC-seq datasets.

55 to easily use these algorithms on their own datasets.

56 o 884 control exomes selected from the UK10K datasets.

57 ous network generated from biomedical linked datasets.

58 ughput experiments and the analysis of noisy datasets.

59 ical methods based on smaller number of GWAS datasets.

60 e diversity of currently available benchmark datasets.

61 es for two high-resolution real yeast genome datasets.

62 ssential tremor, in both test and validation datasets.

63 table visualization for both small and large datasets.

64 it into training (90%) and testing (10%) sub-datasets.

65 01 [86%] of 2451 participants in the testing dataset; 167 [16%] of 1046 primary outcome events for in

66 ology and Chronic Health Evaluation Outcomes dataset, 80.1% were matched with data in Medicare Provid

67 From this dataset 81,064 transcripts were annotated to V. v. vinif

68 he most diverged breed in the whole combined dataset according to structure results.

69 erence genomes from two 16S-based ecological datasets, accounting for phylogenetic relatedness of the

70 n COSMIC coding, and 13% in COSMIC noncoding datasets across all human chromosomes, higher than previ

71 n applied to low-quality chromatin profiling datasets across individuals, cell types and species.

72 This dataset along with a web portal is provided to the commu

73 The dataset also may be incomplete in TBI death recording or

74 Access to these valuable datasets also enables the development of novel methodolo

75 tational methods and The Cancer Genome Atlas dataset analysis to identify novel miRNAs that target CD

76 The genomic dataset and analyses presented here lay the foundation f

77 required to specify the implications of our dataset and further reveal the complex roles that common

78 d examined model performance in the original dataset and in a dataset of complete records where missi

79 method is also applied to a real metagenomic dataset and the results provide an interesting angle to

80 ticular analysis method to an original large dataset and those identified by the same method to a sub

81 ncluding 35 cancer gene expression benchmark datasets and 13 cancer types with four molecular data ty

82 a combination of >50 published limb-specific datasets and clusters of evolutionarily conserved transc

83 l curation, submission and access to private datasets and computationally intensive workspace-based a

84 d tissue-specific RNA-Seq libraries from 113 datasets and constructed 48 359 transcript models of pro

85 ue profile and sub-region/cell-type specific datasets and estimated a potential source of false posit

86 ems, rigorous testing, intensive time-series datasets and improved stochastic modelling will help to

87 multiple pipelines from arbitrary numbers of datasets and interpolates expected concordance for genom

88 p, on four publicly available Ago2-HITS-CLIP datasets and one unpublished in-house Ago2-dataset in st

89 et content has tripled in terms of number of datasets and overall protein coding genes, while its ana

90 nclude with an evaluation using ground-truth datasets and present results on datasets from Drosophila

91 ant sources of variation in high dimensional datasets and produces their visual data summaries, facil

92 s in whole exome and whole genome sequencing datasets and provides a powerful resource for the discov

93 of the same taxonomy to a given OTU) across datasets and ranks; a small number of OTUs were assigned

94 orithms of Lep-MAP3 can analyse low-coverage datasets and reduce data filtering and curation on any d

95 giving hierarchical relationships across NGS datasets and separating individual genomic features into

96 We benchmark HIPred using several datasets and show that our unbiased method performs as w

97 Using gold standard genomic datasets and simulated data, we are able to analyze how

98 lgorithm was tested in large-scale benchmark datasets and solved 36% more targets compared to using t

99 Phenotypes were harmonized across the three datasets and standardized analyses were performed.

100 are evaluated on two comprehensive benchmark datasets and three legacy datasets using Receiver Operat

101 l checks on both in-sample and out-of-sample datasets and use them to show how to test possible model

102 xperiments were evaluated using a validation dataset, and biological verification was performed.

103 redictions were compared with the validation dataset, and mean predicted error was calculated for all

104 or replication in independent large-scale OA datasets, and subsequent meta-analysis with arcOGEN for

105 nable reinterpretation of many existing fMRI datasets, and suggest a new way to explore the white-mat

106 er methods, analyses of TCGA and ICGC cancer datasets, and validations, suggest that VALORATE is accu

107 Other big data applications and uses of the dataset are discussed.

108 and decreasing costs, large gene expression datasets are being generated at an accelerating rate, bu

109 Rainfall trends from different datasets are inconsistent at river basin scales, and the

110 ductor, to ensure that ImmPort curated study datasets are seamlessly accessible and ready for analysi

111 Application of the method across datasets argues for its competitive predictive ability (

112 s greatly simplified by preprocessing such a dataset as follows: (i) extracting and mapping the stain

113 a step-by-step tutorial for visualizing each dataset at the single-cell level, through the commonly u

114 es, a specialized vitamin D food composition dataset, based on EuroFIR standards, was compiled.

115 This challenge has grown as cancer datasets become increasingly abundant, making them cumbe

116 d to support a short RNA molecule in a given dataset before it can be considered different from 'back

117 ervice groups to analyze typical genome-wide datasets being generated by H3Africa research groups.

118 onsequence prediction algorithms, or genomic datasets can be integrated into the inference.

119 Information derived from metabolite datasets can provide a blueprint for improvement of wate

120 ying multiple levels of filtering to RAD-Seq datasets can provide a more complete picture of potentia

121 lysis of Alzheimer's disease data from three datasets CHS, FHS and LOADFS.

122 Based on a dataset comprising measurements of up to 168 distinct hy

123 Replication in AUD datasets confirmed PCSK9 hypomethylation and a translati

124 In the training dataset, connectivity between the DBS electrode and a di

125 The validation dataset consisted of 241 patients from an academic cente

126 lassifier training efficient and scalable in datasets containing 10(8)+ histologic objects.

127 This dataset contains 70,219 and 9,511 unique ligands for the

128 shed in the 2014 NAR Database Issue, IMG/M's dataset content has tripled in terms of number of datase

129 tested on the human microbiome project (HMP) dataset, currently one of the largest published microbia

130 y receive search results as a list of ranked datasets deemed to be the most relevant.

131 Analysis of predicted lncRNAs from two test datasets demonstrated UClncR's accuracy and their releva

132 There are few datasets describing baseline expression levels for total

133 d humans world-wide, but long-term empirical datasets describing this condition are rare.

134 Analysis of public datasets detected increases in polymerase II occupancy i

135 hical clustering of extremely large sequence datasets due to its quadratic time and space complexitie

136 In two independent "resting-state" datasets (electroencephalography surface recordings and

137 nge of record matching-the identification of dataset entries that represent the same individual.

138 s conducted on the publically available LEAP dataset, exploring relationships between peanut toleranc

139 complementary analyses in independent human datasets, five functionally validated genes-GPATCH2L, UH

140 In addition, we also compile a new DTI dataset for increasing the diversity of currently availa

141 s in June-August from 2006 to 2011, a global dataset for the cirrus cloud lateral boundary (CCLB) was

142 ion of graph-GPA to a joint analysis of GWAS datasets for 12 phenotypes shows that graph-GPA improves

143 analysis methods by employing any number of datasets for a variety of conditions.

144 Finally, we use our ASM datasets for functional interpretation of disease-associ

145 he general mixture model to three microarray datasets for lung cancer studies.

146 gy, and End Results (SEER)-Medicare and NLST datasets for patients with stage 1 disease aged 65 to 74

147 seful to improve cross-cultural life history datasets for small-scale societies for which reliable ag

148 We retrieve our dataset from ChEMBL-an open-source literature-based data

149 nly other large population genomic Wolbachia dataset from D. melanogaster.

150 gions and thus on the largest archaeogenetic dataset from the Peninsula to date.

151 s are applied to the whole genome sequencing dataset from the TwinsUK study.

152 its utility, we used ME-Class to analyze 32 datasets from different hematopoietic cell types from th

153 orrectly predict the cancer type in non-TCGA datasets from diverse platforms.

154 ground-truth datasets and present results on datasets from Drosophila melanogaster wings and Schmidta

155 However, generation of datasets from large, complex genomes has been constraine

156 egrated large transcriptomics and proteomics datasets from malignant and normal tissues, and develope

157 high-quality microRNA sequencing (miRNA-seq) datasets from NCBI-SRA and calculated expression profile

158 eport the first whole-genome DNA methylation datasets from single pig blastocysts showing differences

159 We use a variety of different datasets from Thailand to study not only the extremes of

160 ria for 1997-2013 were sourced from existing datasets, from 13 major public and philanthropic global

161 Larger and more realistic simulated datasets further showed that BAnOCC performs well as mea

162 also validated in an independent microarray dataset generated from MS hippocampus.

163 In nonresponders across 5 datasets GMV was significantly lower in the bilateral AC

164 h the rapid growth in the number and size of datasets handled by the system.

165 Lack of full concordance of these datasets has illustrated that important facets of T-cell

166 Analyses involving all grouped datasets have been updated with changes noted in each fi

167 However, to date no complete datasets have shown an energetic minimum for swimming fi

168 romatin conformation from publicly available datasets (Hi-C and ChIA-PET), and correlated activity li

169 relation analysis was conducted on 3 feature datasets (i.e., radiomic imaging features, tumor microva

170 ding, and 553 more in COSMIC noncoding indel dataset in addition to the ones reported jointly by thes

171 P datasets and one unpublished in-house Ago2-dataset in stem cells.

172 assigning the posterior probability for each dataset in support of each CEM.

173 tion for rapid recovery of large STR and SNP datasets in any species without needing a reference geno

174 a meta-analysis approach on IF/TA molecular datasets in Gene Expression Omnibus to identify a robust

175 rt that prepares NIAID-funded research study datasets in ImmPort (immport.org) for analysis in R.

176 rated data from new and publically available datasets in Populus.

177 We validate DAMACY by using three distinct datasets: in vivo response of neutrophils evoked by syst

178 The full dataset included information from 909 073 patients, of w

179 We propose a core dataset including demographic and clinical information t

180 ematic analysis of several commonly used NGS datasets including ChIP-seq, RNA-seq, MNase-seq, DNase-s

181 We applied ECC to 110 synthetic and 48 real datasets, including 35 cancer gene expression benchmark

182 ithin many bacteria isolates and metagenomic datasets, including human pathogens, and is considered t

183 nce and accuracy has been tested on multiple datasets, including species with poorly assembled genome

184 collaborate on massive public cancer genomic datasets, including The Cancer Genome Atlas.

185 In this dataset, individuality was a major driver of microbiota

186 clustering of individuals in large sequence datasets into subpopulations makes the calculation of su

187 t to a wide range of public CLIP-seq/RIP-seq datasets involving numerous splicing factors, microRNAs

188 ind that the lowest genetic distance in this dataset is between modern Armenians and the ancient indi

189 tures: (i) handling of very large genotyping datasets like the ones generated by GBS; (ii) direct imp

190 the non-coding partition in a heterochronous dataset, MCMC integration efficiency improves by > 14-fo

191 Because of the high dimensionality of these datasets, multivariate ordination analyses are often emp

192 ks (ANNs) were applied on several analytical datasets, namely standard merceological parameters, near

193 8 rare (<0.1% in public and in-house control datasets) nonsynonymous variants in 25 genes.

194 the study included the retrospective nature, dataset obtained from a single eye bank, and medical his

195 then apply our model on a publicly available dataset obtained from the Human Microbiome Project which

196 systematic mark-recapture regime yielding a dataset of >15,000 captures of >3,000 individuals, provi

197 We composed a training dataset of 213 drugs with known brain and blood steady-s

198 ated 12 public datasets, together with a new dataset of 265 ccRCC gene expression profiles.

199 A training dataset of 51 PD patients with STN DBS was combined with

200 teria) bacterium from a metagenomic sequence dataset of a T. swinhoei-associated microbial community.

201 TKV computation on computed tomography (CT) dataset of ADPKD patients exhibiting mild to moderate or

202 cell lysate was used to generate a retention dataset of approximately 30000 peptides, sufficient for

203 Using a canonical dataset of Californian bird surveys and a detectability-

204 performance in the original dataset and in a dataset of complete records where missing data were gene

205 We created a taxonomically representative dataset of dinoflagellate transcriptomes and used this t

206 method can be trained on any tissue-specific dataset of enhancers and known functional variants and a

207 We assembled a dataset of island and mainland plant breeding systems, f

208 t compose the adult MB's alpha lobe, using a dataset of isotropic 8 nm voxels collected by focused io

209 Using a global dataset of mammalian species, Mazel and colleagues find

210 igh resolution and is compatible with a real dataset of more than ten thousand individuals.

211 Here, using a global meta-dataset of observed range shifts of marine species, we s

212 Here, we use a comprehensive dataset of RSPO-certified and noncertified oil palm plan

213 d is employed to obtain a full 3D structural dataset of the network morphology within a white beetle

214 those identified by the same method to a sub-dataset of the original dataset.

215 these predictions empirically using a global dataset of well-resolved food webs.

216 nto movement behaviour when applied to large datasets of animal tracking.

217 hinese genome-wide association study summary datasets of bone mineral density (BMD).

218 nd ChEMBL v20 to systematically obtain large datasets of both allosteric and competitive ligands.

219 YVE-1, MRC1, CCL-21) and applied it to large datasets of CRC.

220 The presented approach is evaluated on large datasets of faces, hand-written digits, objects, newswir

221 rowser framework to display large population datasets of genetic variation.

222 cross multiple public access transcriptomics datasets of human asthma, followed by text mining to eva

223 (1)H-NMR spectra datasets of serum, urine, cortex, and stomach tissue ext

224 ing Rs at the global scale by linking global datasets of soil moisture, soil temperature, primary pro

225 These rich datasets offer unprecedented and exciting opportunities

226 urther corroborated using publicly available datasets on Hnf4a.

227 uted using 4 nonmutually exclusive augmented datasets: OPTN only, OPTN + verified external deaths, OP

228 In application to two real datasets, our method ensures the existence of master reg

229 Our dataset outperforms previous metazoan gene superalignmen

230 low provide a method for evaluating rainfall dataset performance across multiple areal (basin) units.

231 nsional scaling (MDS) that partitions a Hi-C dataset, performs high-resolution MDS separately on each

232 he Principal Component Analysis of the whole dataset pointed out that the TF system at reduced thickn

233 A high resolution (3 km foot print) SM/ST dataset prepared from a land data assimilation system, a

234 nformation about autophagy than all previous datasets, producing a second-generation ontology of 220

235 ed fine-mapping and complementary epigenomic datasets provided evidence for causal mechanisms at seve

236 t diversity, but this taxonomically verified dataset provides a valid starting point for macroecologi

237 Our dataset provides the first comprehensive map of the MIC-

238 ng cloud-based data analysis of the mounting datasets remains a concerning bottleneck for providing c

239 This study and resultant dataset represent an important foundation for developing

240 , and standardized conditions resulting in a dataset representing 238 assays.

241 d association testing in the gender-combined dataset revealed eight loci associated with BUA and seve

242 he combined analysis of the 4 RNA expression datasets revealed that ALV infection is detected by patt

243 e pairing of both loss- and gain-of-function datasets reveals complex gene networks which control dru

244 hment and pathway analysis of the microarray dataset showed enrichment in axon guidance and actin cyt

245 ts obtained from simulated and real genotype datasets showed that the ELS algorithm was able to accur

246 uitable metric for comparison for imbalanced datasets similar to the one studied here.

247 pite increasing availability of phylogenomic datasets, strategies to generate genome-scale data from

248 assess covariance of nucleic acid sequencing datasets such as chromatin immunoprecipitation followed

249 erface to allow users to access large public datasets, such as that from The Cancer Genome Atlas or t

250 als striking associations between orthogonal datasets, such as transcriptomic and metabolomics signat

251 On four benchmark datasets taken from a gold standard data, iDTI-ESBoost o

252 eliver increasingly large molecular sequence datasets that are often heavily partitioned in order to

253 We also apply our method to three real datasets that contain related individuals, population st

254 y began in the 1950s, and paleoenvironmental datasets that provide a longer-term context to recent cl

255 Using an extensive palynological dataset, that has been statistically grouped into palaeo

256 dary analyses of a nationally representative dataset (the General Social Survey), examining the predi

257 rotein to proteins in our dataset, the SP175 dataset, the 'gold standard' set obtained from the Prote

258 In a second, prospective dataset, the model detected 100% of 26 episodes with a m

259 rity of the query protein to proteins in our dataset, the SP175 dataset, the 'gold standard' set obta

260 By using the Medicare Limited 5% dataset, there was no difference in driving distance bet

261 We compared our dataset to a library of nirS sequences obtained previous

262 We used a 40-year dataset to assess the trade-offs associated with the len

263 for extracting this information from an HDX dataset to generate a HDXMS protein stability fingerprin

264 formed hierarchical clustering on the entire dataset to investigate the underlying causal structure o

265 elemetry, stable isotope, and mark-recapture dataset to test if a population of lake trout (Salvelinu

266 thus provide tools for integrating multiple datasets to assess risk for periodontitis progression an

267 lyzed publicly available EAC gene expression datasets to correlate expression of ERBB genes with gene

268 We used existing spatially-explicit global datasets to estimate the production levels of 41 major c

269 We used these metrics and 24 datasets to evaluate six widely used PA methods.

270 henotypic information from digital pathology datasets to investigate prognostic image biomarkers and

271 We created 15 reference datasets to quantify MIST's stitching accuracy.

272 cell lines, combined with publicly available datasets to survey a total of 1,056 cancer cell lines an

273 samples, we propose to use simulated RNA-seq datasets to train our model.

274 and provides functions to integrate various datasets together.

275 type classifications, we evaluated 12 public datasets, together with a new dataset of 265 ccRCC gene

276 The datasets used in the paper are publicly available.

277 We analyzed the 187-taxon dataset using multiple analytical approaches, and we eva

278 ic analyses of three concatenated nucleotide datasets using maximum likelihood and Bayesian methods,

279 ehensive benchmark datasets and three legacy datasets using Receiver Operating Characteristic (ROC) a

280 visualize, query, and explore cancer genomic datasets visually or programmatically.

281 The dataset was split into training (90%) and testing (10%)

282 Based on this dataset, we developed and compared 2-class and 3-class D

283 By leveraging The Cancer Genome Atlas dataset, we identified lipid metabolism as the metabolic

284 between several theoretical and experimental datasets, we assign an error of 1.1-1.2 log unit for equ

285 On simulated datasets, we show that BAnOCC infers the true network as

286 Using large-scale multi-omics cancer datasets, we show that InFlo exhibits higher sensitivity

287 Using all datasets, we validated recently identified loci associat

288 These independent datasets were processed and quality-controlled using the

289 nd Methods Four deidentified HIPAA-compliant datasets were used in this study that were exempted from

290 is fast; indeed, even on relatively smaller datasets when enough RAM is available to hold all necess

291 n plant species leading to the generation of datasets which are difficult to compare.

292 We use a new dataset, which includes in-lab comprehension and home me

293 ms require task-specific, manually-annotated datasets, which are expensive to develop and thus limite

294 el supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image

295 s interactive analysis of publicly available datasets, while manual curation, submission and access t

296 nstrate the proposed procedure on two cancer datasets with censored survival outcomes and thousands o

297 four processes, or are tailored to specific datasets with matching model assumptions and code.

298 predicted in the same manner between the two datasets, with 24.7% or 42.5% of the known 49.0 kbp of L

299 ervice, enabling the analysis of genome-wide datasets within seconds, allowing interactive exploratio

300 This dataset yields insights into how vesicular transport is