ライフサイエンスコーパス: experimental design

1 rent European countries and sharing the same experimental design.

2 Se-NADES extraction was optimized by an experimental design.

3 rming combinations, we propose a data-driven experimental design.

4 h factor responsiveness based on a factorial experimental design.

5 is and provide guidance to facilitate future experimental design.

6 that is inaccessible because of data-limited experimental design.

7 ng may lead to poor data and difficulties in experimental design.

8 ognitive performance via a double cross over experimental design.

9 of 16 treatments reflected a 4 x 4 factorial experimental design.

10 with the arm above the heart, supporting the experimental design.

11 allopatry and sympatry using a substitutive experimental design.

12 on latest patenting information and a quasi-experimental design.

13 e largely used observational data without an experimental design.

14 ic powders was optimized using a statistical experimental design.

15 DEP-exposed human lung cells in a factorial experimental design.

16 ifugation were investigated and optimized by experimental design.

17 A-seq simulation methods and led to rational experimental design.

18 he extraction step was optimised by using an experimental design.

19 e most appropriate approach for our data and experimental design.

20 asurement conditions were optimized using an experimental design.

21 ata analysis methods that utilize the proper experimental design.

22 hy they are relevant biological variables in experimental design.

23 prospective longitudinal study with a quasi-experimental design.

24 ves the way for model comparison and optimal experimental design.

25 ortant roles in protein function studies and experimental design.

26 temperature) were optimized using factorial experimental design.

27 theoretical and technical considerations for experimental design.

28 ell differentiation and other differences in experimental design.

29 ortant olive varieties with a full factorial experimental design.

30 circadian rhythms were controlled for in the experimental design.

31 imized by response surface methodology based experimental design.

32 teractions were evaluated with a Box-Behnken experimental design.

33 after stroke by using a clinically relevant experimental design.

34 RNA-seq studies to ensure the most efficient experimental design.

35 eted approach, instead it will impact future experimental design.

36 odiments that constrain animal behaviors and experimental designs.

37 to demultiplex single-cell data from pooled experimental designs.

38 evel results, particularly for low-frequency experimental designs.

39 studies using rigorous experimental or quasi-experimental designs.

40 NA-Seq differential expression under complex experimental designs.

41 surrounding early animal evolution in their experimental designs.

42 NA-Seq differential expression under complex experimental designs.

43 nely incorporate symbiotic microbes in their experimental designs.

44 r decision-making model innovation and novel experimental designs.

45 different cellular populations from diverse experimental designs.

46 analysis of numerous types of NGS assays and experimental designs.

47 models and acts as a potential confounder in experimental designs.

48 ion techniques and generalizable to multiple experimental designs.

49 In order to guide experimental design, a kinetic model was built to explor

50 The proposed method was optimized by experimental design, achieving a limit of detection (LOD

51 Typical experimental design advice for expression analyses using

52 TMTpro reagents allow complex experimental designs-all with essentially no missing val

53 Our experimental design allows us to rigorously distinguish

54 A lack of consistent experimental design among previous studies of different

55 The knowledge provides new insight into experimental design and a sound basis for further method

56 isease (AD) have been proposed to help guide experimental design and aid the interpretation of result

57 asonic power (P), were combined in a 5-level experimental design and analysed by response surface met

58 s in defensive responding but differences in experimental design and analyses approaches compared to

59 ial for additive or synergistic effects, but experimental design and analyses of multimodal therapeut

60 to address this important gap in single cell experimental design and analysis into an easy-to-use too

61 We show that proper experimental design and analysis parameters can reduce f

62 at guides the in vivo researcher through the experimental design and analysis process, providing auto

63 use tool called SCEED (Single Cell Empirical Experimental Design and analysis).

64 Both experimental design and applications of LP-EM for soft m

65 This work offers a novel experimental design and applies the concept of instantan

66 udes a conceptual overview and checklist for experimental design and calibration decisions, and is ap

67 We provide guidelines for experimental design and choice of the capsid, cargo, and

68 ormatic tool that assists rational scRNA-seq experimental design and comparison of scRNA-seq computat

69 ished by a combination of translation-minded experimental design and computational approaches.

70 This combination of experimental design and data analysis software allows th

71 w that commonly exercised flexibility at the experimental design and data analysis stages of replicat

72 illustrate the implementation of the assay (experimental design and data analysis), affinities of th

73 ol formation will become an integral part of experimental design and data analysis.

74 Serious problems in the experimental design and data interpretation raise concer

75 y capture-based interactome screen where the experimental design and data processing have been modifi

76 ighlight key aspects of mutational signature experimental design and describe the analytical framewor

77 e analyzed using a simple paired or unpaired experimental design and develop blocking methods to help

78 ately one-third of the variance, whereas the experimental design and ecological characteristics only

79 the trade off between different features of experimental design and estimates of parameter uncertain

80 Using clever experimental design and exploiting the high temporal res

81 guidelines for development and execution of experimental design and interpretation in animal studies

82 open questions on OFR chemistry and to guide experimental design and interpretation.

83 f mimicking facets of the human disease; (2) experimental design and its impact on the interpretation

84 nvestigators proactively address pitfalls of experimental design and methods.

85 Here, our experimental design and modeling encompass both.

86 Chemometric methods were used both at experimental design and multivariate data analysis stage

87 Chemometric tools were used for experimental design and multivariate data analysis.

88 , for expression data generated by different experimental design and platforms, there is currently la

89 spent culturing C. elegans, and includes (i) experimental design and preparation of samples, (ii) dat

90 'predictive metabolomic' approach can aid in experimental design and provide useful insights into the

91 the gut microbiome; however, variability in experimental design and quantitative assessment have mad

92 nd iron was investigated using a Box-Behnken experimental design and response surface methodology (RS

93 ortance of considering strain differences in experimental design and result interpretation.

94 t address this complexity through thoughtful experimental design and robust data analysis approaches.

95 Here we propose an experimental design and statistical models for estimatin

96 In March 2019, experts in animal biology, experimental design and statistics convened in Blonay, S

97 pendent upon the capacity of the instrument, experimental design and technical bias.

98 Our previous work has developed a reliable experimental design and the result shows promising resul

99 s is an important finding that confirmed our experimental design and the results produced could guide

100 s and analytical packages available to guide experimental design and to devise suitable analysis proc

101 s provide greater control and insight during experimental design and troubleshooting.

102 hnical experts able to advise researchers on experimental design and validate the performance1 of sha

103 vectors remain elusive, which may complicate experimental designs and data interpretation.

104 scordant results were in part due to diverse experimental designs and different strains of mice.

105 differential imitation and the links between experimental designs and more or less plausible theoreti

106 l structures, and suggesting improvements in experimental designs and possible further investigations

107 t than mammal models, especially for complex experimental designs and sophisticated genetic screens.

108 levant factors, such as social dominance, in experimental designs and statistical plans.

109 data with environmental metadata to support experimental designs and to gain a mechanistic understan

110 s used in the experiment, information on the experimental design, and a direct link to the original p

111 The workshop focused on practical methods, experimental design, and approaches to statistical analy

112 tion was formulated using Taguchi methods of experimental design, and combined with the caspase inhib

113 provide recommendations for future analyses, experimental design, and data sharing to improve our mec

114 Study 2 (n = 425) used an experimental design, and found further support for emoti

115 , modeling, topological analysis, strain and experimental design, and network visualization, as well

116 man iPS cell lines from 125 donors, a pooled experimental design, and single-cell RNA-sequencing to s

117 oextraction technique was optimized using an experimental design, and the analytical performance was

118 This tool also aids experimental design, and we illustrate the dangers that

119 ives that may suit various biological goals, experimental designs, and laboratories' preferences.

120 2018 for randomized controlled trials, quasi-experimental designs, and observational cohort studies r

121 depends largely on the adoption of adequate experimental designs, and on the quality of the measurem

122 ods to reduce the number of subjects, refine experimental designs, and replace live animals.

123 ver by lamentable inconsistency in published experimental designs, and so complicates interpretation.

124 teria categories (particle characterization, experimental design, applicability in risk assessment, a

125 ayesian optimization in bioremediation, this experimental design approach has promising applications

126 e QuEChERS extraction was optimized using an experimental design approach that includes a screening s

127 ressing need for more rational and efficient experimental design approaches to reduce experimental ef

128 Nevertheless, not all quasi-experimental designs are equal, and it is important that

129 RNA levels, and will hopefully aid in future experimental design as well as interpretation of prior r

130 In this article, the Experimental Design Assistant (EDA) is introduced.

131 This study describes an experimental design, based on pH-stat, to rapidly screen

132 ew guidelines addressing scientific premise, experimental design, biological variables, and authentic

133 randomized" (CR) and "Randomised block" (RB) experimental designs, both the assignment of treatments

134 All studies employed a quasi-experimental design but were of mixed methodological qua

135 ence that the bias is not an artifact of the experimental design, but rather indicates a true tempora

136 , we must be aware that minor differences in experimental design can lead to contradictory results.

137 Future research employing rigorous experimental designs, careful statistical analysis, and

138 of performance-including network properties, experimental design choices and data processing-by devel

139 These results may guide researchers in experimental design choices for gut microbiome studies.

140 RET basics, we provide guidelines for making experimental design choices such as the donor-acceptor p

141 akly informative Bayesian model, ii) capture experimental design conditions through a mixed-effects m

142 n to estimate parameter values and determine experimental design configurations.

143 ted into clinical success due to preclinical experimental design considerations that inadequately pre

144 icrobial data types to human health, several experimental design considerations, data analysis challe

145 Furthermore, we discuss key experimental design considerations, including the choice

146 However, the differences in experimental design, coverage density, and possible resu

147 entire research project lifecycle, including experimental design, data analysis, and management (i.e.

148 cal research and add layers of complexity to experimental design, data integration, and analysis.

149 and sample sizes, and includes graphical for experimental design decision-making.

150 As such, it is vitally important that experimental design decisions do not systematically bias

151 " (RB), or one of the more specialised named experimental designs described in textbooks on the subje

152 es, but it may also be of general utility in experimental design, drug discovery, chemical syntheses,

153 this trend engenders a challenge of optimal experimental design: due to the flexibility of complex m

154 aque populations were characterized, and the experimental design enabled the definition of a consider

155 This novel experimental design enabled the determination of measure

156 iently analyze these moderate or large-scale experimental designs, especially with combined metadata.

157 sh oil have been investigated via three-step experimental design; ex vivo rat everted intestinal sac

158 drug synergistic effects are needed to guide experimental design for developing candidate drug pairs.

159 In this work, we used a Box-Behnken experimental design for optimizing the conditions of pH,

160 uit larger sample sizes; and use single case experimental designs for better pragmatic and explanator

161 eo and illustrate the utility of multiplexed experimental designs for common expression analyses.

162 n patterns in SCZ and creates more efficient experimental designs for further studies.

163 upporting pursuit of transactivation-centric experimental designs for high-throughput functional scre

164 are among the most critical aspects of many experimental designs; for example, we might have to choo

165 Using an experimental design free of chemo- or radiotherapy, we f

166 mented in the DGE analysis with seven unique experimental design functionalities, including a user-sp

167 feature reconstruction; provide data-driven experimental design guidelines; and provide researcher-f

168 Optimized solution obtained from the experimental design (gum acacia : Hi-Cap(R) 100 : maltod

169 on the setting, participant characteristics, experimental design, hand hygiene measurement, intervent

170 This experimental design has allowed us to estimate the timin

171 Incorporating sex and gender analysis into experimental design has enabled advancements across many

172 Some efforts at harmonizing experimental designs has helped but not entirely removed

173 results show that computationally optimized experimental designs have the potential to substantially

174 An experimental design having the following factors (solven

175 d factors that need to be included in future experimental designs if we are going to harness the powe

176 ing noninteger roots coupled with systematic experimental design, improvements to the measurements ma

177 or promiscuity and provides a benchmark for experimental design in assessment of PARP inhibitor effe

178 or the cutaneous research community to guide experimental design in characterizing skin microbiota.

179 This knowledge will allow for more rigorous experimental design in future studies of PDGFR signaling

180 Here, we survey current best practices for experimental design in microbiome molecular epidemiology

181 ross omic technologies and a formulation for experimental design in multi-omic data scenarios.

182 This work describes the application of an experimental design in optimizing the decomposition and

183 d has broad uses for statistical testing and experimental design in research on changing microbiomes,

184 d SOF were evaluated using a fully factorial experimental design in the BelloCell system.

185 to quantitatively assess practical scRNA-seq experimental design in the context of differential gene

186 Therefore, the use of experimental design in the optimization process proves t

187 Here, we used a periodic experimental design in which 16 human subjects (eight wo

188 C virus (HCV) in human hepatoma cells in an experimental design in which host cell evolutionary chan

189 power estimation are essential components of experimental designs in biomedical research.

190 hetic biology efforts rely on conceptual and experimental designs in combination with testing of mult

191 approach has been discussed about the use of experimental designs in pesticide extraction and also th

192 e mistakes have their origins in ineffective experimental designs, inappropriate analyses and/or flaw

193 Our experimental design included measurements in multiple vi

194 Our method is applicable to a variety of experimental designs including with or without normal co

195 dicate the need for better understanding the experimental design, including temporal and spatial alig

196 of successful translation depend on rigor in experimental design, interpretation, and reporting acros

197 In this paper, we discuss what a quasi-experimental design is, when they might be used for vacc

198 oxi-mC data sets with arbitrary and complex experimental designs is an open and important problem.

199 Under such circumstances, an array of quasi-experimental designs is increasingly being used to evalu

200 riment, offering advantages in combinatorial experimental design, large numbers of independent measur

201 demonstrate how to address this bias at the experimental design level.

202 We present an optimal experimental design method (coined OPEX) to identify inf

203 Optimal experimental design models from Bayesian decision theory

204 describe a combination of computational and experimental design of cobaltocene metallo-cations that

205 Power analysis becomes an inevitable step in experimental design of current biomedical research.

206 xisting studies using GW9662 and make better experimental design of future studies necessary.

207 Application of the experimental design of genome-wide association studies (

208 The experimental design of GRID-seq is related to those of t

209 This work provides a framework for the experimental design of high-throughput reporter assays,

210 Evaluating the experimental design of mouse experiments where our model

211 This experimental design of pharmaco-intervention during the

212 urcing of patient advocacy efforts, rigorous experimental design of public education campaigns, resea

213 Experimental design of the instrumentation is described

214 ultiple samples using pooling is a promising experimental design, offering increased throughput while

215 translation, we need to assess the effect of experimental design on disease outcome and model experim

216 The importance of the experimental design on the results of dissolution experi

217 g blood will reduce animal use and widen the experimental design options for studying the effects of

218 ly or incompletely due to limitations of the experimental design or data collection schema.

219 ting, ii) do not fully take into account the experimental design or iii) do not make full use of the

220 ulator, which facilitates decision making in experimental design parameters.

221 thinking about nature, with implications for experimental design, peer review and funding, sharing of

222 Implementation of new reporting and experimental design principles will improve experimental

223 in improving standards from the start of the experimental design process through to publication.

224 emistry, high-throughput experimentation and experimental design, process engineering, and solid-stat

225 erformance, requires the adoption of optimal experimental design protocols.

226 This assumption drives experimental design, randomization schemes, and statisti

227 (1) Effect sizes often reflect artifacts of experimental design rather than real-world relevance, an

228 determining the optimal approach for a given experimental design remains a computational and scientif

229 to removing of lead were identified for each experimental design response.

230 Experimental design revealed that analytes extraction fr

231 surement efficiency, we show an OED (Optimal Experimental Design) routine where quantities of interes

232 ncreasingly require special consideration in experimental design, sample multiplexing, batch effect r

233 In addition to experimental design, scDesign also assists computational

234 store raw experimental data, metadata of the experimental design, scripts of the quantitative analysi

235 Current experimental design should be refined to generate cleare

236 klist that aims to improve the reporting and experimental design standards in the field.

237 enetic data, coupled with complex replicated experimental designs such as found in plant science inve

238 ts, ensuring that the main principles of the experimental design, such as grouping samples from the s

239 The results raise cautions in experimental design, such as receptor overexpression in

240 iple be ameliorated by exploiting correlated experimental designs, such as time series or dosage resp

241 Our results suggest that new experimental designs targeting a majority of inhibitory

242 ed along with recent development on enabling experimental design techniques such as structural altera

243 Multiplexing across donors is a popular experimental design that can avoid batch effects, reduce

244 approaches need to be coupled with improved experimental design that considers larger sample sizes a

245 We apply a tailored experimental design that eliminates these confounders, a

246 iple proteins from an unprocessed mRNA is an experimental design that enables predictable protein out

247 e propose a regulatory framework and optimal experimental design that enables transgenerational epige

248 l was most successful revealed principles of experimental design that may improve translational perfo

249 f 200 passages in human hepatoma cells in an experimental design that precluded coevolution of the ce

250 knowledge, we outline ongoing challenges in experimental design that remain to be overcome in order

251 We introduce an experimental design that renders possible the stringent

252 search is moving quickly towards large-scale experimental designs that are comprised of multiple tiss

253 This paper is aimed to overview the experimental designs that are frequently used for screen

254 Well thought out experimental designs that include complementary gene exp

255 onal strategies to analyze data from complex experimental designs that include multiple data modaliti

256 nd interpretations that can inform idealized experimental designs that maximize the detection of the

257 ng complex design matrices, by which complex experimental designs that may include replications, trea

258 s study presents the optimisation through an experimental design then the validation of a method to d

259 pervised nontargeted analysis based upon the experimental design to aid in the discovery of analytes

260 these environments, we apply a matched-pairs experimental design to career and productivity trajector

261 Experimental design to ensure that fluxes are estimated

262 present study, we used a simultaneous PET-MR experimental design to investigate the effects of functi

263 mental parameters and can be used for future experimental design to obtain correct epsilon-values all

264 vitamin B(12) and D(3) by spray drying using experimental design to optimize wall material combinatio

265 rimental design on disease outcome and model experimental design to resemble the clinical course of M

266 thod can be used in conjunction with optimal experimental designs to effectively identify model struc

267 0 parent-child trios) and considered several experimental designs to identify potentially deleterious

268 ults offer new targets for developing better experimental designs to investigate regulatory molecular

269 Experimental designs to probe brain function are also li

270 However, experimental designs to test memory are typically based

271 used regression discontinuity (RD), a quasi-experimental design, to analyze the effects of the expan

272 It can also be used for experimental design, to estimate how many samples to use

273 onmental change is simulated and the type of experimental design used.

274 emical profiling from a multilevel factorial experimental design using 2 factors and more than 4 leve

275 A Doehlert experimental design was conducted and surface response m

276 Assisted by response surface methodology, an experimental design was developed for testing the extrac

277 Overall, our highly replicated experimental design was powerful and allowed the detecti

278 An efficient Taguchi experimental design was used to assess the five factors

279 An I-optimal experimental design was used to investigate the effect o

280 An experimental design was used to optimize the different v

281 Experimental design was used, in a first-ever attempt, t

282 ogy, coupled to a full factorial three-level experimental design, was applied to investigate the comb

283 Using a novel split-colony experimental design we evaluated visual learning perform

284 For this type of nested experimental design, we developed a two-step bioinformat

285 Through an experimental design, we investigated the hypothesis of a

286 ial and temporal constraints inherent to our experimental design, we posit that changes in cocaine po

287 Using a longitudinal experimental design, we quantified the ontogenetic profi

288 Using a quasi-experimental design, we test whether a desistance-based

289 Using simulated data for three different experimental designs, we compare the power of the method

290 Box-Behnken experimental designs were employed to select the optimal

291 this field to include film particles in its experimental design, which were found to make up a consi

292 Next, we combine simulation-based Bayesian experimental design with Bayesian optimization to arrive

293 A Box-Behnken experimental design with independent variables: HPMC qua

294 Here, using a single-case experimental design with intensive longitudinal data, we

295 Box-Behnken experimental design with response surface methodology wa

296 0 muatm) scenarios, crossed in an orthogonal experimental design with the presence/absence of the cub

297 m 120 individuals to also show that multiple experimental designs with different numbers of samples,

298 As scientists, we brainstorm and develop experimental designs with our colleagues and students.

299 The studies used a randomised controlled experimental design, with embedded tests for mediation.

300 The experimental design yields a robust method with potentia