ライフサイエンスコーパス: dataset

1 ta for over 21 million individuals (Explorys Dataset).

2 ng propensity score matching in each imputed dataset.

3 by adding the dimension of wavelength to the dataset.

4 x: the Allen Brain Observatory Visual Coding dataset.

5 mance was assessed using an independent test dataset.

6 rk to simulated datasets and to a real-world dataset.

7 n the reduced than in the full untransformed dataset.

8 issions using an original sectoral emissions dataset.

9 f our workflow by reanalyzing a public human dataset.

10 and 1.11, 1.02-1.22; p=0.018 in the combined dataset.

11 h a macroevolutionary and an epidemiological dataset.

12 icted their population trends from a UK-wide dataset.

13 he expression quantitative trait loci (eQTL) dataset.

14 atabase to organize prokaryotic defense gene datasets.

15 We also evaluate SemRep on two datasets.

16 ATAC-seq, ChIP-seq, RNA-seq, and proteomics datasets.

17 ression solely from RNA-sequencing (RNA-seq) datasets.

18 l cancer driver genes by analysing cell-line datasets.

19 ted our proposed approach over two benchmark datasets.

20 tected on chromosomes 2, 6 and 9 in multiple datasets.

21 racy when applied to the Cancer Genome Atlas datasets.

22 s obtained using simulated and real chemical datasets.

23 on either simulated or limited experimental datasets.

24 , ages 18 to 88 y) 3 T functional MRI (fMRI) datasets.

25 reliability when used on external validation datasets.

26 e further validated using publicly available datasets.

27 ta were handled by multiple imputation of 50 datasets.

28 al environments requires detailed, long-term datasets.

29 n, which is usually unavailable in practical datasets.

30 earning (ML) algorithms beyond ANN to FCH(4) datasets.

31 ower consistently across pediatric and adult datasets.

32 ication studies, preferably using multi-omic datasets.

33 ed it on both PacBio and Nanopore sequencing datasets.

34 aids in the exploration of large biological datasets.

35 pigz on several publicly available nanopore datasets.

36 oli), and Caenorhabditis elegans (C. elegan) datasets.

37 d atrophy at any given location across these datasets.

38 onal single-molecule localization microscopy datasets.

39 extraction, and analysis of high-dimensional datasets.

40 cal decline using both internal and external datasets.

41 evelop methods to add signal to real RNA-seq datasets.

42 ve yet to demonstrate their utility in large datasets.

43 resolving hidden cell populations in complex datasets.

44 sting anonymized Doheny Image Reading Center datasets.

45 nd secure interface for querying the genomic datasets.

46 s a highly predictive skill against our test datasets.

47 nt challenges to large-scale analysis across datasets.

48 and dimension reduction of high-dimensional datasets.

49 est model against multiple leaf gas-exchange datasets.

50 alysis but could be learned from large-scale datasets.

51 the methods performed well for all simulated datasets.

52 n based on analysis of multiple geopolitical datasets.

53 , 95% CI 1.02-1.51; p=0.034 in the discovery dataset; 1.10, 0.98-1.20; p=0.10 in the validation datas

54 x surgery in the Hospital Episode Statistics dataset, 811 (3.6%) had surgical reintervention, with ri

55 ted against internationally curated clinical datasets, achieving up to 85% accuracy.

56 mouse single-cell RNA-sequencing (scRNA-seq) datasets across health and disease to uncover putative t

57 = 2.61, P = 7.98 x 10(-22)) and replication datasets (adjusted OR = 1.55, P = 0.06) with a loss-of-f

58 classification task with a larger regression dataset, allowing for the creation of deeper and more ac

59 ork that consists of one such representative dataset along with the scripts for training and testing

60 % on Human protein reference database (HPRD) dataset and also obtains best results on Database of Int

61 in many cases, inducing severe noise in the dataset and limiting its applications in biomedical stud

62 ios (HRs) and 95% CIs were estimated in each dataset and pooled through fixed-effects meta-analysis.

63 complex traits by integrating both the GWAS dataset and the expression quantitative trait loci (eQTL

64 scores were concordant between the corrected dataset and the RoT dataset for 205 of 232 lesions (88.4

65 We apply cardelino to a published cancer dataset and to newly generated matched scRNA-seq and exo

66 By using 2 independent benchmark datasets and a definition of stability as trajectories n

67 simulation method results in more realistic datasets and can alter the conclusions of a differential

68 SpER increases the utility of RNA-sequencing datasets and complements other tools for complete charac

69 GxEMM to a range of human and model organism datasets and find broad evidence of context-specific gen

70 mical information to analyze the challenging datasets and identifies significant group differences in

71 egmentation is feasible in 3D whole-body MRI datasets and is generalizable to different epidemiologic

72 e decision to reprocess all high-level LINCS datasets and make them accessible at the data point leve

73 se through integration of multiple molecular datasets and pathway annotations.

74 We also re-evaluate published nanoSIMS datasets and revise estimated microbial turnover times i

75 alongside gene expression atlases, variation datasets and sequenced mutant populations, provides a fo

76 We applied our framework to simulated datasets and to a real-world dataset.

77 icellular interactions using newly available datasets and tools, including glycan biosynthesis models

78 ctivity need to be replicated in independent datasets and, if validated, may provide useful measures

79 CI 0.843-1.000) in the training (50% of the dataset) and validation sets, respectively, to 0.936 in

80 nty percent of cases were withheld as a test dataset, and the remaining cases were used to train the

81 ance Plan, expert opinion, medication claims datasets, and Ontario Drug Benefit Formulary medication

82 mework to predict chromatin loops in 56 Hi-C datasets, and release the results at the 3D Genome Brows

83 including glycan biosynthesis models, omics datasets, and systems-level analyses.

84 t; 1.10, 0.98-1.20; p=0.10 in the validation dataset; and 1.11, 1.02-1.22; p=0.018 in the combined da

85 These extensive datasets are a resource for the analysis of LAD rewiring

86 Five gene expression datasets are also employed to test the performance of th

87 Several datasets are analysed and our results clearly illustrate

88 nd have high accuracy on large heterogeneous datasets are needed.

89 Though datasets are often hosted by public repositories, scient

90 he existing tools on both the rat and NHP ON datasets as judged by mean absolute error, R(2) values w

91 statistical procedure on one of the largest datasets available.

92 Utilizing a standardized dataset based on a newly developed list of 27 univocally

93 s) and gene expression levels from 21 tissue datasets (brain; blood; thyroid, adrenal, and pituitary

94 balanced fitness benefits across the entire dataset, but a consistently higher fitness of residents

95 at sequential hypothesis testing on the same dataset by multiple researchers can inflate error rates.

96 Synthetic datasets mimic real datasets by preserving their statistical properties and

97 Moreover, scRNA-seq dataset characteristics (for example, sample and cellula

98 vide a global-scale quantitative and gridded dataset characterizing different spatiotemporal facets o

99 ternational Stroke Trials Archive-ICH trials dataset, Clot Lysis: Evaluating Accelerated Resolution o

100 examine this approach across three distinct datasets collected during emotional episodes-measuring t

101 of malignant tissue for an independent test dataset comprising 1631 biopsies from 246 men from STHLM

102 our proprietary, large and expertly labeled dataset consisting of 12-lead ECGs from 40,258 patients

103 roposed is highly predictive on a validation dataset consisting of 277 targets of clinical trial drug

104 urface temperature (GMSST) by using a unique dataset consisting of 30-member large initial-condition

105 We applied the method to an AD dataset consisting of histone acetylation, DNA methylati

106 hored enrichment, we obtained a phylogenomic dataset consisting of hundreds of single-copy nuclear lo

107 On an even larger dataset consisting of ~2 million developing mouse organ

108 mpress gene expression data from three large datasets consisting of adult normal tissue, adult cancer

109 While our entire dataset consists of 7,600+ identified fossils from 32 si

110 The dataset consists of five original MRI sequences; pre-con

111 A publicly available dataset containing k-space data as well as Digital Imagi

112 xplorys Life Sciences, a multi-institutional dataset containing statistically deidentified EHR data f

113 rages of the Jaccard index for the simulated datasets containing 2000 records were 0.705, 0.272, 0.22

114 econdly we apply our method to two empirical datasets containing largely categorical variables: an an

115 e results of binding-site prediction, so the dataset contains a minimum of two ligand-bound and two l

116 hey were not trained on high-quality epitope datasets covering a broad range of HLA alleles.

117 These datasets delineate gene expression profiles spanning key

118 Experimental results on real datasets demonstrate that PLATO has improved performance

119 on of CNV Radar in a public multiple myeloma dataset demonstrated that CNV Radar was able to detect a

120 Application of ChIPseqSpikeInFree on five datasets demonstrates that this in silico approach revea

121 e United States by compiling and analysing a dataset detailing nearly 100 million traffic stops condu

122 Being able to coassemble a large dataset does not preclude one from multiassembly; rather

123 nd visualizing these large multi-dimensional datasets during acquisition and pre-processing can be ch

124 works in these transformants, we generated a dataset encompassing physiological parameters, gene expr

125 Overall, this dataset fills a substantial gap in quantitatively descri

126 s conventional wisdom, we analyzed a genomic dataset for 166 translocated desert tortoises (Gopherus

127 nt between the corrected dataset and the RoT dataset for 205 of 232 lesions (88.4%).

128 0.62, respectively; P < .001 for all) in the dataset for the correlation with PFT results.

129 n analysis pipeline to facilitate use of our dataset for vaccine design and functional annotation of

130 that searched automatically epidemiological datasets for age-stratified incidence of NDs.

131 Using both synthetic and experimental datasets for comparison, we perform FLOW-MAP analysis si

132 969) and the validation (95% CI 0.888-0.984) datasets for the new panel including REG1B.

133 An AHC outbreak dataset from January 2007 to December 2016 in different

134 dation set from another institution and on a dataset from the Cancer Imaging Archive (TCIA).

135 d processing of a 725-terabyte cancer genome dataset from the Pan-Cancer Analysis of Whole Genomes (P

136 Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-spec

137 ing 29 human studies, including twelve human datasets from around the world (USA, Europe, Asia).

138 ustrate MOG by case studies of large curated datasets from human cancer RNA-Seq, where we identify no

139 nd Down syndrome (DS), using DNA methylation datasets from public sources (Gene Expression Omnibus, G

140 risons with available modern and ancient DNA datasets from South Asia indicate that the Brahmin caste

141 , household, and neighbourhood factors using datasets from successive demographic and health survey c

142 cer Genome Atlas and essential survival gene datasets from The Cancer Dependency Map, the latter of w

143 archaeon Haloferax volcanii, we reanalyze MS datasets from various strains and culture conditions.

144 Across the four independent datasets, genome-wide significant quantitative trait loc

145 en demonstrated on our population-scale meta-dataset, GMHI is the most robust and consistent predicto

146 This current dataset has been made available to approved MVP research

147 The ready availability of multi-omics datasets has led to the development of numerous methods

148 transcriptional information encoded in large datasets, Hopper and Treehopper grant the individual use

149 iminant analysis of the MS/MS(ALL) lipidomic dataset, identified lipids driving the clustering of the

150 pplied to two large-scale metabolomics LC-MS datasets identifies many misaligned features and success

151 using multiple de novo transposon insertion datasets in both plants and animals and compare them in

152 ve simulation studies and publicly available datasets in cancer genomics.

153 dditionally, in the analyses of diploid Hi-C datasets in mouse and human, our ASHIC-ZIPM method produ

154 dentified a number of RNA-Seq and microarray datasets in order to develop, train, test, and validate

155 rged as a means to achieve this by combining datasets in ways that retain the strengths of each.

156 redictors in high-dimensional bioinformatics datasets, in order to avoid the potential danger of misi

157 Here, we combine datasets, including microbial necromass biomarker amino

158 nt differential expression analyses based on datasets integrated from different platforms showed that

159 The first conformational change in our dataset involves rotation of the inner-gate backbone alo

160 Each dataset is accompanied by an explanation regarding the n

161 A common core dataset is proposed, to achieve harmonization of registr

162 However, once a dataset is sufficiently large, machine learning algorith

163 h further evaluation with improved benchmark datasets is required for reaching a definite conclusion.

164 NAs, a vast majority of public transcriptome datasets lack reliable miRNA profiles.

165 Based on the 5.2 M SNP dataset, major QTLs were located on chromosomes 3 and 7

166 ations and batch effect typical of scRNA-seq datasets make this task particularly challenging.

167 However, the simulated datasets may not reflect the real complexities of metage

168 In the combined datasets, mean age was 54.8 +/- 15.9 years for the HCM g

169 In the DUCA dataset, MIE was associated with increased total complic

170 egrated systems analysis using the available datasets might help to gain further insights into the di

171 Synthetic datasets mimic real datasets by preserving their statist

172 mer's Disease Neuroimaging Initiative (ADNI) dataset (n = 417) and validated on three independent coh

173 ndent validations on multiple cancer patient datasets obtained from retrospective observational studi

174 Here, using a dataset of 144 wild chimpanzee (Pan troglodytes) communi

175 trained on partial scans created from a new dataset of 16227 scanning transmission electron microgra

176 We analysed a prospective cohort dataset of 201 individuals with CR.

177 We used a 26-year capture-mark-recapture dataset of 3,330 black brent Branta bernicla nigricans t

178 in-stained histopathology images using a new dataset of 30,612 spatially resolved gene expression dat

179 sets was investigated: a public benchmarking dataset of 302 CT scans and two in-house datasets with a

180 6 men from STHLM3 and an external validation dataset of 330 biopsies from 73 men.

181 5,856 individuals, leading to a high-quality dataset of 459,777 unique individuals.

182 t of recurrent mutations identified within a dataset of 46,723 SARS-CoV-2 genomes isolated from patie

183 Here, we present a large-scale dataset of 849 3D reconstructions of the basal arbor of

184 s, and lobes in three dimensions, based on a dataset of 9749 chest CT volumes.

185 ine and sucrose replicated in an independent dataset of 980 participants in the PREDIMED trial (Preve

186 the Human Cell Atlas Census of Immune Cells dataset of bone marrow cells and show that it substantia

187 Histopathological diagnoses and a minimal dataset of clinical variables were collected from existi

188 We use a dataset of delta(13)C(CH4) from >1600 produced shale gas

189 duced a horizontal translation factor to the dataset of each cohort.

190 In this paper, we analyse a global dataset of flights since July 2016.

191 Cellpose was trained on a new dataset of highly varied images of cells, containing ove

192 study LH connectivity, aside from a limited dataset of MCH neurons where no connections were discove

193 from the same block were imaged, yielding a dataset of more than 2 petabytes.

194 perform an accurate GWAS analysis for a real dataset of more than 25,000 individuals, keeping all ind

195 udents in Auckland, New Zealand using a rich dataset of observed home addresses and schools attended

196 ping this tool, we integrated the transcript dataset of plants, several rules governing gene silencin

197 rformance of TT measurements in a validation dataset of retinal detachment images.

198 explicit models to a spatiotemporally robust dataset of sage-grouse nest locations and fates across w

199 Applied to a macroevolutionary dataset of the Australian gecko family Pygopodidae (wher

200 analyze a southern European, millennium-long dataset of tree recruitment from three high-elevation pi

201 e searches to construct the largest existing dataset of virus-reservoir relationships, consisting of

202 Datasets of a wide range of markers highlight a decline

203 in-between model to two large representative datasets of individual web browsing histories.

204 We test the predictions of this theory on datasets of pubertal mammary gland tips and embryonic ki

205 All high-throughput gene expression datasets of solid organ transplant recipients were retri

206 Here, using three long-term datasets on bird reproduction, daily insect availability

207 quencing samples allows for annotating large datasets on-line.

208 fixed criteria may not be optimal across all datasets (organisms, tissues or treatments).

209 ed two recent deep mutational scanning (DMS) datasets probing the effects of single amino acid variat

210 In parallel, emerging remote sensing datasets promise qualitatively new and more abundant dat

211 These unique datasets provide insight into the contribution of IL-10

212 t joint DA of multiple independent satellite datasets reduced model ensemble error by better constrai

213 To date, the integration of CyTOF datasets remains a challenge due to technical difference

214 ent years, processing the resulting radiomic datasets remains a challenge due to the lack of specific

215 geographic and host sampling, this combined dataset represents a global baseline available for inter

216 that AutoSiM can be adapted readily to novel datasets, requiring only modest Transfer Learning.

217 study, AIBL, Framingham Heart Study and NACC datasets, respectively.

218 of the miR-21 expression in the TCGA glioma dataset revealed that overexpression of miR-21 was a pot

219 litudes identified from published biological datasets revealed distinct functions from those oscillat

220 bulk and single-cell retinal transcriptional datasets revealed predominant expression in rod photorec

221 from both cultured isolates and metagenomic datasets, revealing thousands of encoded antibiotics.

222 Analysis of this dataset reveals that a soil area of 11.73 Mkm(2) located

223 In analyses of empirical datasets, RTDT produced dates that were similar to those

224 Using a comprehensive dataset sampling> 2,000 modern birds, fossil birds, and

225 These datasets should include a description of the host, organ

226 Zebrafish RNA-seq datasets show a preponderance of 3' alternative splicing

227 Exploratory analyses in independent clinical datasets show that PRSs were associated with SCZ and MDD

228 Experimental results on three influenza datasets show that Tempel can significantly enhance the

229 Overall pathway analyses on the multi-omics datasets showed significant enrichment for mitochondrial

230 Our long-term daily insect biomass dataset shows no long-term trends over 25 y but precipit

231 riginal reporting radiologists for all three datasets (site 1 FFDM: linearly weighted Cohen kappa [ka

232 Using an exceptional camera-trap dataset spanning 32 protected areas across southern Afri

233 We generated 268 epigenomic datasets spanning two state transitions-from normal pros

234 Moreover, by using priors informed by dataset structures, bayNorm improves accuracy and sensit

235 well as a previously published longitudinal dataset studying the microbiome during pregnancy.

236 Experiments on three benchmark datasets suggest that the contribution from the metageno

237 candidate-gene association analyses of GWAS datasets suggested an increased risk of breast cancer wi

238 We relied on a major published dataset (Tara Oceans) where samples from the mesopelagic

239 ian or mean compares better to observational datasets than any individual model, we consider the here

240 new transposon insertion sequencing (Tn-Seq) dataset that we generated.

241 m yields high-quality MHC-II-binding peptide datasets that can be used to improve the accuracy of MHC

242 the acquisition of reasonably large training datasets that hold the key for label-free single-cell an

243 rategies-such as using more diverse training datasets that include African American Vernacular Englis

244 We demonstrate across 21 real expression datasets that Spectrum gives improved runtimes and bette

245 variation in divergence time estimates among datasets that were subsamples of the available HIV-1 gen

246 We found, in two separate datasets, that replay sequences were packaged into trans

247 In FVC2004 DB1 real fingerprint dataset, the average matching score increased by 13.22%.

248 o previous analyzes of this multidimensional dataset, the miRAMINT approach retained only 31 explanat

249 In the validation dataset, the receiver operating characteristics (ROC) we

250 n a 2018 Data Science Bowl (DSB) competition dataset, three users obtained DSB score of 0.331 +/- 0.0

251 ed with the cell line-derived transcriptomic datasets through elastic net regression analysis to iden

252 ble and interactive visualization of complex datasets through functions which link to a powerful and

253 macao de Vigilancia Epidemiologica da Gripe) dataset to characterise the COVID-19 pandemic in Brazil.

254 he most complex experimental lineage tracing dataset to date, 34,557 human cells continuously traced

255 rated Palmer Drought Severity Index (scPDSI) dataset to derive the South American Drought Atlas (SADA

256 plant heat and cold tolerances and used this dataset to test for thermal macrophysiological patterns

257 reserving sharing of statistics from genomic datasets to attain privacy guarantees while taking into

258 a broad array of simulated and experimental datasets to demonstrate the effectiveness of GPseudoClus

259 tes the value of continuous long-term survey datasets to detect and quantify shifts in cetacean habit

260 Utilizing historical clinical datasets to guide future treatment choices is beneficial

261 arch studies have generated large multi-omic datasets to study complex diseases like Alzheimer's dise

262 3 enhancers, which were obtained from 16 055 datasets using 12 high-throughput experiment methods (e.

263 t was tested using derivation and validation datasets using esophageal pressure-time product as the r

264 to reassemble the circular plastomes from 47 datasets using GetOrganelle.

265 tology enrichment analysis revealed that the dataset was enriched with genes involved in auxin respon

266 Structure of the multi-dimensional dataset was explored using principal component analysis,

267 The dataset was partitioned temporally into development and

268 sed approach for labeling vertebrae on three datasets was investigated: a public benchmarking dataset

269 nited States Medicaid Analytic eXtract (MAX) dataset, we conducted a population-based study of 1,753,

270 Using a unique, population-level dataset, we find that rates of autism diagnosis continue

271 methylation markers as classifiers from each dataset, we found that both AEC- and NEC-based DNAm sign

272 For 50 published plant datasets, we are able to reassemble the circular plastom

273 On three real datasets, we demonstrate that cLV recapitulates interact

274 Using real-world datasets, we demonstrate that iDrug achieves superior pe

275 valuating our mechanism on different genomic datasets, we empirically demonstrate that our proposed m

276 gh integrating proteomics and RNA-sequencing datasets, we identified a subset of genes with apparent

277 In this work, focusing on genomic datasets, we show this drawback of the DP and we propose

278 All 10 patients with PPS maculopathy in this dataset were correctly categorized as having PPS maculop

279 Patient samples in the training dataset were split into a training set (n=290) and a tes

280 The image datasets were split into training (n=17 340), validation

281 e curve (AUC) of 0.883 across the 37 circRNA datasets when compared with XGBoost, k-nearest neighbor,

282 This holds true even in CASP13 dataset, where threading using high-quality contacts (MC

283 r approach makes it possible to create a new dataset, which carries sampling uncertainty estimated by

284 ligation sites to identify peaks from HiChIP datasets, which can subsequently be used in other tools

285 article introduces the concept of synthetic datasets, which is an emerging method originally develop

286 More broadly, these datasets will facilitate interpretation of risk loci for

287 hthalmologists in a prospective clinic-based dataset with 510 outpatients newly enrolled with disease

288 Based on a global dataset with flower biomass spanning five orders of magn

289 Integration of this dataset with genotype data from the largest PTSD genome-

290 By evaluating the counting results, another dataset with more than 30 000 IHC stained nuclei in 88 i

291 ing dataset of 302 CT scans and two in-house datasets with a total of 238 CT scans.

292 nance Imaging (MRI), and combined CT and MRI datasets with demonstrated test accuracies of 85.3%, 83.

293 formation, we tested Meltos on two simulated datasets with five genomes in both.

294 In multiple datasets with known ground-truth subclasses, particularl

295 ries, and this advantage is more apparent in datasets with limited samples or unbalanced group propor

296 access to large-scale genetic and phenotypic datasets with more than 1000 studies.

297 quasi-likelihood, SPARK is also scalable to datasets with tens of thousands of genes measured on ten

298 the multimodal inputs was consistent across datasets, with mean area under curve values of 0.996, 0.

299 learning research including use of internal datasets without external validation, unavailability of

300 A method that retrospectively renormalizes datasets without spike-in is lacking.