ライフサイエンスコーパス: benchmark

1 s, the nWTA network achieves the parallelism benchmark.

2 d a comparison with an identical performance benchmark.

3 surgical changes against such a personalized benchmark.

4 2.2 +/- 1.1 angstrom on the Rosetta antibody benchmark.

5 SPs) to track and compare AU with a national benchmark.

6 top-performing algorithm in accuracy in this benchmark.

7 nch AFP model with Milan criteria serving as benchmark.

8 counting for mixtures and degradates without benchmarks.

9 x variation than regions covered by previous benchmarks.

10 human-health context for degradates without benchmarks.

11 n comparison to primary fetal and adult AEC2 benchmarks.

12 n workflows when applied to well-established benchmarks.

13 he Netherlands and facilitates international benchmarking.

14 the materials mimicking the structure of the benchmark 2,2',7,7'-tetrakis(N,N-di-4-methoxyphenylamino

15 lower immunoassay background signal than the benchmark (2x) and negative control (3x) gels.

16 30.88 mV dec(-1) , even outperforms the Pt/C benchmark (32.7 mV@10 mA cm(-2) and 30.90 mV dec(-1) ).

17 od is used to provide accurate energetics to benchmark a density functional for direct dynamics.

18 We developed, validated, and benchmarked a deep-learning computer-aided system for pr

19 We benchmarked a framework for learning gene regulatory net

20 This study benchmarks a first global Earth observation-based model

21 with a standard capillary LC system and was benchmarked against a standard variable wavelength capil

22 MetaRibo-Seq was benchmarked against gold-standard Ribo-Seq in a mock mic

23 Combining this with numerical simulations benchmarked against neutron scattering experiments, we a

24 e electrochemical properties is demonstrated benchmarked against NMC, NCA, and Al-Mg-codoped NMC (NMC

25 stems, amino acid encoding schemes should be benchmarked against random vectors of the same dimension

26 e vaccine based on immunogenicity evaluation benchmarked against the defined thresholds.

27 Utility is demonstrated with benchmarking against known pH sensing sites in influenza

28 However, these models require systematic benchmarking against primary tissue to establish their v

29 model improves performance in computational benchmarks against experimental targets, including predi

30 This performance surpassed our best human benchmark (although both human and machine performance c

31 o diverse types of chiral compounds, several benchmark amino acids were used as model compounds, focu

32 In our benchmarks, an analysis pipeline based on miBF shows hig

33 The benchmark analyses demonstrates that the spectrum of the

34 Benchmark analysis of eCAMI against the state-of-the-art

35 arrest has emerged as an important metric to benchmark and incentivize hospital resuscitation quality

36 We benchmark and optimize pPAINT using designer DNA nanostr

37 and nonlinear Random Forest classifiers were benchmarked and evaluated for predicting the estrogenic

38 The framework has been benchmarked and has demonstrated competitive performance

39 The method has been extensively benchmarked and is among the top 6 methods, outperformin

40 been conceived to address this problem, but benchmarking and interpreting them is fraught with diffi

41 (n = 30), and DVSS (n = 32) that trained to benchmarks and control (n = 32) that trained using local

42 e NMR relaxation parameters, rarely used for benchmarking, are particularly sensitive to the choice o

43 3D GA) is presented that achieves not only a benchmark areal capacitance of 2195 mF cm(-2) at a high

44 The method is tested on the Astex Diverse benchmark, as well as on the targets from the last round

45 manual curation and to more comprehensively benchmark automated spike sorters.

46 We benchmark available neuronal media and show that BPI enh

47 his article introduces a new, OWA-compliant, benchmark based on a balanced test set of positive and n

48 and real data analyses, scBatch outperforms benchmark batch-effect correction methods.

49 n the context of SI-induction and comprise a benchmark because currently there are few reports of irr

50 riptomic analysis differentiated 27 from the benchmark BETi, JQ-1, showing downregulation of oncogene

51 Simulation benchmarks, blind challenges, compensatory mutagenesis,

52 Our method can be used to do a benchmark by generating large labeled cryo-ET dataset an

53 The performance was benchmarked by monitoring the assembly of the hepatitis

54 wide range of experience from 4 countries to benchmark CAD system performance.

55 it compares to label propagation, the widely benchmarked canonical approach for this problem.

56 matic amino acids and short peptides provide benchmark cases to study, at the molecular level, the ph

57 ent of the endocrine-disrupting potential of benchmark chemicals based on data generated from high co

58 Benchmarking CIPR against existing functionally similar

59 We benchmarked CITE-sort with real and simulated CITE-seq d

60 We rigorously benchmark COCA, and present Kernel Learning Integrative

61 y available on GitHub and the Broad Bioimage Benchmark Collection.

62 D) simulation is carried out to simulate the benchmark combustion of methane.

63 ormed shallow machine-learning algorithms in benchmark comparisons, showing nearly a 20% increase in

64 by using it to produce new polymorphs of the benchmark compound ROY as single crystals structurally c

65 ease-gene associations and on a time-stamped benchmark containing 42 newly discovered associations.

66 This new benchmark could complement existing ones in future CAFA

67 We benchmark Cumulus on the Human Cell Atlas Census of Immu

68 Benchmark data are computed for unsubstituted ortho-benz

69 We also provide the benchmark data for further use by the community.

70 This information provides benchmark data for routine laboratories that want to imp

71 Analysis of simulation and two benchmark data have demonstrated that semi-CAM outperfor

72 simulated Ribo-seq footprint data and three benchmark data sets, we illustrate that RiboDiPA can unc

73 ne markers from three cancer gene expression benchmark data sets.

74 open-source integrated-hardware solution and benchmark data that we provide should help with research

75 To evaluate IPDA performance and provide benchmark data to support its implementation, we analyze

76 When evaluated on the Rosetta antibody benchmark dataset of 49 targets, DeepH3-predicted potent

77 cal tests on an independent (low similarity) benchmark dataset reveal that the computational tools in

78 assisted threading method over a large-scale benchmark dataset using predicted contact maps from four

79 Tested on a benchmark dataset with 2329 proteins using nearest-neigh

80 the method's robustness to false priors on a benchmark dataset, comparing the proposed approach to ot

81 tivity at the AUC of 90.90% on circR2Disease benchmark dataset.

82 on three datasets was investigated: a public benchmarking dataset of 302 CT scans and two in-house da

83 By using 2 independent benchmark datasets and a definition of stability as traj

84 r RNA fold prediction strongly depend on the benchmark datasets and the structure comparison algorith

85 The experimental results on six English benchmark datasets demonstrate that auto-processed synta

86 e, although further evaluation with improved benchmark datasets is required for reaching a definite c

87 Experiments on three benchmark datasets suggest that the contribution from th

88 In the present study, we generated benchmark datasets to systematically evaluate protocols

89 ter than a baseline distance method for most benchmark datasets when trained and tested with the same

90 Finally, we used 2 separate benchmark datasets-one representing "likely nonprogressi

91 reted proteins, which we then used to create benchmark datasets.

92 We tested our proposed approach over two benchmark datasets.

93 We construct five complementary benchmark datasets: mutation clustering patterns in the

94 We benchmark DENDRO and demonstrate its application on simu

95 ervations and in using these observations to benchmark DGVMs.

96 data to estimate affordability of EAT-Lancet benchmark diets, as a first step to guiding intervention

97 We provide a benchmark dissection of the blood leukocyte 'regulome' t

98 erformance on challenging continual learning benchmarks (e.g., class-incremental learning on CIFAR-10

99 For degradates without benchmarks, estimated values (estimated benchmark quotie

100 e pipeline was examined in three large-scale benchmark experiments based on 614 non-redundant protein

101 Extensive benchmarking experiments demonstrate that PASSION achiev

102 Benchmarking experiments indicate that the ensemble neur

103 We applied this approach to five benchmark FCH(4) datasets from both natural and managed

104 Then, I review select benchmark findings concerning memory search and analyze

105 ercentage of LoS longer than our proposed ED benchmarks following VD: 2 days after spontaneous vagina

106 esults of the case study provide a suggested benchmark for a potential national sugar reduction progr

107 m achieved 0.5 log removal of 1,4-dioxane, a benchmark for AOP validation for potable reuse, within 4

108 tion spectra at the single molecule level, a benchmark for bulk sample characterization, has remained

109 onclusion, because the published preclinical benchmark for clinical translation of heart xenotranspla

110 Our findings set a benchmark for current and future integrative genetic ass

111 Our data may serve as a benchmark for expected outcomes with intensive chemother

112 nimmunized model animals will be useful as a benchmark for future immunization experiments.

113 These novel findings provide a benchmark for future studies linking the genetic archite

114 his is in part because there is no universal benchmark for gene finding and, therefore, most develope

115 ted and biological branching patterns as the benchmark for growth rules.

116 d patients, integrating preventable VTE as a benchmark for hospital comparison and pay-for-performanc

117 This performance represents a new benchmark for organic semiconductor photocathodes for so

118 isy candidate options) by a factor of N, the benchmark for parallel computation.

119 mula: see text], is shown to be an effective benchmark for relating information from the phase-viscos

120 These provide a benchmark for state-of-the-art water potentials and dipo

121 nzyme that has been extensively studied as a benchmark for structure-function relationships in protei

122 dictions from a fluctuation scaling law as a benchmark for the observed standard deviations.

123 This result represents a benchmark for the seminal statements of molecular-frame

124 xperimental data delivers an ultra-sensitive benchmark for theory to reproduce, guiding the developme

125 The model was successfully benchmarked for determining permeability coefficients by

126 ton-coupled electron transfer in enzymes and benchmarks for a fully renewable H(2) technology, [FeFe]

127 imate steady-state concentrations and create benchmarks for adherence categories.

128 stic analyses might contribute to developing benchmarks for assessing quality of care.

129 Staging provides valuable frameworks and benchmarks for clinical decision-making in patient manag

130 e achievement proves reproducible, published benchmarks for clinical translation of cardiac xenograft

131 re the healthcare burden of T2MI and provide benchmarks for clinical trial design.

132 ting extinctions, null models provide useful benchmarks for conservation planning by providing minimu

133 es, aged mdx muscle tissue provides reliable benchmarks for disease progression that may be valuable

134 riation and establish diagnostic performance benchmarks for postoperative imaging in children with co

135 They also provide detailed benchmarks for predictive theories of roaming.

136 (2019) are setting new benchmarks for protection against infection and pulmonar

137 ing a standardized approach for establishing benchmarks for relevant outcome measures in surgery.

138 However, there are no evidence-based benchmarks for the proportion of area of naturally distu

139 minantly non-MIVS cohorts, but fall short of benchmarks for uncomplicated cataract surgery.

140 Comparative performance benchmarks from true screening cohorts are needed.

141 et-triplet splittings are computed using the benchmarked functionals.

142 acterization protocols, including randomized benchmarking, gate set tomography, and Ramsey spectrosco

143 dient with slope and linearity comparable to benchmark gels.

144 non-reference L1Hs insertions in the NA12878 benchmark genome.

145 The benchmark has been tested using the naive and BLAST base

146 veral peptide and antibody bioconjugates) to benchmark heptamethine dyes and found that the shielded

147 conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods.

148 We benchmark HiCanu with a focus on the recovery of haploty

149 ivity data with published standards or other benchmarks; identification of intervention, if necessary

150 These findings establish a benchmark in the face of rapid Arctic warming and an int

151 To benchmark in vitro-derived organoids, we developed a sin

152 CSMD was benchmarked in a comparative evaluation with other class

153 Based on our benchmarking in multiple plant species, NATpare substant

154 Performance benchmarks included sensitivity and specificity, examine

155 further in vivo studies and were compared to benchmark ionizable LNPs (iLNPs).

156 buted computation saturating the parallelism benchmark is possible in networks of noisy, finite-memor

157 Benchmarking is an established tool to improve quality i

158 ser (SD) algorithm for solving this problem, benchmark it on the set of long error-prone Oxford Nanop

159 ex of neuronal activity, in brain tissue and benchmarked it against two widely-used methods: OpenColo

160 nce in cultured clinical isolates of Mtb and benchmark its performance with standard minimum inhibito

161 rees C) its concentration was lower than the benchmark level of 400 ug kg(-1) for roast coffee set by

162 tending to 24 months versus 18 months in the benchmark LIM.

163 uch as endophthalmitis, including developing benchmarks, longer-term time trend investigation, and co

164 We benchmark MAGGIE across various applications using both

165 hly active OER catalyst that outperforms the benchmark material RuO(2) .

166 have higher Kr/N(2) selectivity than current benchmark materials, which leads to a notable decrease i

167 mol L(-1) , thus outperforming most previous benchmark materials.

168 Moreover, these results offer key benchmark measurements of gaze behavior in 360 degrees ,

169 First, we benchmarked metaFlye using simulated and mock bacterial

170 We benchmarked MetaviralSPAdes on diverse metagenomic datas

171 Our benchmarked method approach increased throughput by redu

172 el tests using this method compared with the benchmark methods confirmed its robustness and accuracy.

173 addition to 33 ones overlapping with the two benchmark methods.

174 searchers can reproducibly run, compare, and benchmark most modern spike sorting algorithms; pre-proc

175 We benchmark multiple TFs with this technique.

176 cal phenomena and is later validated against benchmark numerical experiments.

177 n evolution reaction (OER) than IrO(2) , the benchmark OER catalyst.

178 by 16% allowed the cost to reach the typical benchmark of ${\$}$100,000/QALY gained.

179 ight benefits bioimaging, while the spectral benchmark of a trapped chromophore with characteristic r

180 Using a benchmark of other LRR protein complexes, we further dem

181 vers to establish a contemporary (2012-2017) benchmark of riverine Hg export.

182 Our results constitute a benchmark of UV-induced photochemistry of animal and mic

183 d establish formal criteria for analysis and benchmarking of emergency department-based boarding over

184 SSIs for the purpose of quality control and benchmarking of hospitals and surgeons.

185 own microscopes over time, allows objective benchmarking of newly developed microscopy and labeling

186 sequence data, providing a valuable tool for benchmarking of pangenome software or comparing evolutio

187 In this study, we present a comprehensive benchmarking of supervised learning for network-based ge

188 We then present the results of extensive benchmarking of the tests implemented in PyGNA and a use

189 Benchmarking of their performance against extensive set

190 seq data, but a comprehensive comparison and benchmarking of these methods is still lacking.

191 at 12% of site-years exceeded high or severe benchmarks of fish, wildlife, or human health risk.

192 Periodic benchmarks of global discards are needed to assess the p

193 Current benchmarks of these methods assess predictive performanc

194 -calling to genome assembly, were ported and benchmarked on an Android smartphone.

195 It is benchmarked on networks with known community structures.

196 ics and, as revealed by a mathematical model benchmarked on the observations, on cell morphology and

197 Our benchmarks on simulated and real data reveal comparable

198 cantly more accurate predictions compared to benchmarked open-access and commercial tools, achieving

199 We also developed and benchmarked optimized PDX informatics pipelines, and the

200 active imaging of sucrose clusters which are benchmark organic samples.

201 iatomic molecules in a minimal basis set, we benchmark our approach against widely used coupled clust

202 We benchmark our approach by correctly inferring the linker

203 We benchmark our approach using numerical simulation of noi

204 To benchmark our approach, we use negative stain electron m

205 light modulator for beam shaping is used to benchmark our implementation.

206 We benchmark our proposal for the quantum task of learning

207 After benchmarking our method against a minimal model, we illu

208 In retrospective benchmarks, our classifier shows outstanding performance

209 full agonists estrone, E(2), and estriol, a benchmark partial agonist triphenylethylene bisphenol (B

210 disorder predictors outperform their current benchmark performance for the majority of proteins and t

211 Lastly, we benchmarked performance on a wide range of systems so th

212 y traced over 15 generations, and use it for benchmarking phylogenetic inference approaches.

213 e improvement by the community, we develop a benchmark pipeline for inference of cell-type proportion

214 igence with the case study of an integrative benchmarking platform called Brain-Score.

215 e that now is the time to create integrative benchmarking platforms that incentivize ambitious, unifi

216 r to two physical primers which were used as benchmark primers, namely slicing (5.0 +/- 0.6 umol glyc

217 e new simulator is validated against several benchmark problems (involving, e.g., Fickian and Nernst-

218 Using multiple benchmark problems, we show that DDxNet produces high-fi

219 This may have relevant implications for benchmarking processes and quality implementation.

220 Benchmarks (proficiency levels) on the 7 FRS Dome tasks

221 , we introduce AssessORF, a new approach for benchmarking prokaryotic gene predictions based on evide

222 duce bulk high-entropy nitrides with the new benchmark properties.

223 The benchmarking protocol used in our study, being more sens

224 Population-specific benchmarks provided by this study can be used to guide P

225 as an air-cathode, outperforming that of the benchmark Pt/C+RuO(2) air-cathode.

226 rocatalysts with only Fe- or Ni-SAs, and the benchmark Pt/C.

227 cal initialization and readout, we implement benchmark quantum computations such as Grover's search a

228 hout benchmarks, estimated values (estimated benchmark quotients (BQE)) were first calculated by assu

229 MLST loci (0.897, 79 STs) fails to reach the benchmark recommended for a reference method (0.900), ma

230 u surface cleaning experiments and detecting benchmark redox species in solution.

231 This benchmark reliably identifies errors in mapping-based ca

232 We benchmarked RepeatModeler2 on three model species with d

233 Differences from the benchmark (residuals) are aggregated across multiple tim

234 Overall, our work provides a benchmark resource for researchers to study cellular sen

235 eference on attainable performance, and as a benchmarking resource for further research.

236 ks (MOFs) are examined with regard to recent benchmark results and ultimate storage targets in this f

237 These benchmarking results confirm that RosettaDEER can effect

238 Our benchmarking results demonstrated that our algorithm out

239 Our benchmarking results indicate that it is feasible to mon

240 The benchmarking results show that LocalSTAR3D has better ac

241 vement of the AI Brier score compared to the benchmark RMR Brier score.

242 We used the gold-standard test as a benchmark scenario, but, gold-standard testing is often

243 etry (cytometry by time of flight, CyTOF) to benchmark scMEP against bulk metabolic assays by reconst

244 The final benchmark set contains 12,745 isolated, sequence-resolve

245 l practice, we developed a sequence-resolved benchmark set for identification of both false-negative

246 re we present MemSTATS, a publicly available benchmark set of both quaternary- and internal-symmetrie

247 Yet, there has been no systematic benchmark set or decoy structures available for the 3D s

248 ure-trained predictors using a comprehensive benchmark set with the structure- and disorder-derived a

249 oteins because of the lack of an appropriate benchmark set.

250 ity at 90% specificity met or approached the benchmarks set out in World Health Organization target p

251 Conclusion Benchmarks showed a wide range of performance difference

252 can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC cha

253 dynamics and the potential to contribute to benchmarking smFRET for dynamic structural biology.

254 have been concealed in noisier times and to benchmark sources of anthropogenic noise.

255 ghtly higher than the value measured for the benchmark spiro-OMeTAD.

256 y-unique markings, camera-trap surveys are a benchmark standard for estimating local and global popul

257 RC (12-21 years earlier depending on sex and benchmark starting age of screening).

258 therefore, most developers select their own benchmarking strategy.

259 To address this question, we perform benchmark studies on simulated and real scRNA-seq data.

260 In benchmarking studies, OTTO showed accuracy and sample pr

261 ity analysis spurred a recent community-wide benchmark study that compares diverse modeling algorithm

262 consensus ortholog calls derived from public benchmark submissions are provided on the Alliance of Ge

263 the Rh-catalyzed asymmetric hydrogenation of benchmark substrates furnishing enantiomeric excess valu

264 As such, we anticipate that this review and benchmarking survey will assist researchers in selecting

265 5% concordant with the heuristic-based draft benchmark SV callset from GIAB.

266 validate our method, we apply ImageAEOT to a benchmark task based on nuclear and chromatin images dur

267 A benchmark test based on the murine brain samples reveale

268 Benchmark testing against inductively coupled plasma-mas

269 ROC and precision-recall curves in standard benchmark tests.

270 In several benchmarking tests, DeepTE outperformed other existing t

271 We demonstrate in a computational benchmark that 1-Step outperforms 2-Step approaches in p

272 teins, which contrast with the dataset-level benchmarks that are currently used to assess and compare

273 We further benchmark the efficiency of various promiscuous biotin l

274 We benchmark the experiment with bootstrapping heuristic me

275 In this paper, we benchmark the metagenomic read assemblers by mixing read

276 To benchmark the performance of CV19-Net, a randomly sample

277 We benchmark the performance of several methods, including

278 We benchmarked the performance of (18)F-PSMA-1007 against 3

279 -source and reproducible software suite that benchmarks the performance of automated spike sorting al

280 On challenging CASP benchmarks, the resulting hybrid approach boosts the sta

281 suggesting utility in other contexts and for benchmarking theoretical solvation models.

282 We benchmark these methods in terms of the similarity betwe

283 We benchmark these methods using 100 manually curated datas

284 With the IHC data as the benchmark, this resource enables quantitative assessment

285 Through benchmarking to MuA transposon-mediated library generati

286 computational models to establish potential benchmarks to guide tumor treatment during translation o

287 ncluded that, above a certain threshold, the benchmarks traditionally used to measure research succes

288 a number of different applications including benchmarking tree inference methods and evaluating commo

289 ation outflow from Wuhan; the model yields a benchmark trend and an index for assessing the risk of c

290 HPV-EM achieved 97-100% accuracy when benchmarked using cell line data and TCGA cervical cance

291 calization microscopes (SMLMs) are routinely benchmarked using simulated data, calibration rulers, or

292 al rates exceeding 85% and comparable to the benchmark values observed in standard DBD liver transpla

293 e a recent 10-step approach to identify such benchmark values, a standardized and more widely agreed-

294 -validated using the protein-protein docking benchmark version 5.0, our method (ZING) achieved a succ

295 In addition, this benchmark was implemented in an open and easy to reprodu

296 r screening performance is maintained within benchmarks when synthetic mammography replaces digital m

297 lementation on RNA structure homology search benchmarks, where we can compare directly to exact align

298 ol's accuracy and robustness by a systematic benchmark with microarray, high-coverage whole-exome and

299 In comparative benchmarking with Bayesian and non-Bayesian methods (LSD

300 Here we present an automated benchmarking workflow, using synthetic shotgun sequencin