ライフサイエンスコーパス: analytic

1 cts than offline and batch-mode conventional analytics.

2 sed for large scale and high-quality medical analytics.

3 ation safety, clinical quality programs, and analytics.

4 are of paramount importance in microfluidic analytics.

5 e eliminated or mitigated by new secure data analytics.

6 or self-powered sensing in athletic big data analytics.

7 between observed SSC values and their image analytics.

8 place in the 2020 Syngenta crop challenge in analytics.

9 ne and pharmacy for conducting standard data analytics.

10 Analytic adjustments did not appreciably change IDU prev

11 We explored potential analytic adjustments for reducing biases through use of

12 For many analytic and biomedical applications, the presence of an

13 since its inception, presenting substantial analytic and computational challenges.

14 In this Review, we discuss emerging analytic and experimental technologies for single-cell m

15 Based on analytic and numerical simulations, the method can exhib

16 ncements in the speed and efficiency of data analytics and experimental control.

17 Thus, emerging tools in big data analytics and systems biology are facilitating novel ins

18 convenient to install and provides extensive analytics and visualizations.

19 irus 2 infection by considering preanalytic, analytic, and postanalytic sources.

20 ry and compelling applications of predictive analytics, and addresses future research and training en

21 sies, innovations centred around technology, analytics, and collaboration have led to remarkable prog

22 network underlying AF; our experimental and analytic approach can be extended to identify molecular

23 A rapid qualitative analytic approach for thematic analysis was used.

24 A multipronged analytic approach revealed a highly consistent pattern o

25 A multipronged analytic approach revealed converging evidence for strik

26 ly studied subtyping methods, we used a meta-analytic approach testing a total of 35 large population

27 We applied a 2-stage analytic approach to assess the associations between air

28 Here, we use a factor-analytic approach to capture partially unobserved driver

29 Here we use a meta-analytic approach to synthesize the extant literature of

30 the authors applied a novel multimodal meta-analytic approach to test the hypothesis that major depr

31 A secondary analytic approach used a cohort design, with alternative

32 tional bias scores, eye tracking), our novel analytic approach yielded substantially improved split-h

33 effects were not mirrored in an alternative analytic approach).

34 s implications for overall impact potential, analytic approach, and sample size planning.

35 By including these results in a common analytic approach, we show that data from eight lineage

36 . This review summarizes a recently compiled analytic approach-genome-wide cross-trait analysis-to de

37 ct and a comparative interrupted time series analytic approach.

38 5) and a comparative interrupted time series analytic approach.

39 p in the literature we employed a novel meta-analytic approach.

40 Our data analytics approach provides insights into the microscopi

41 function; and (3) a control module and data analytics approach that enables coordinated, closed-loop

42 disadvantages of bifactor models with other analytic approaches and note that no statistical model i

43 Finally, these analytic approaches are also applicable to complex and h

44 ditions become available, more sophisticated analytic approaches are needed to take full advantage of

45 We show that standard analytic approaches can conflate periodic parameters (ce

46 d choices in the MSDM task and provide novel analytic approaches for independently quantifying these

47 Conventional analytic approaches for studying diet patterns assume no

48 orm standardization of FDG-PET protocols and analytic approaches in LVV.

49 Meta-analytic approaches included propensity score matching t

50 o micrometers to millimeters to meters using analytic approaches of computational fluid dynamics and/

51 itions, subsets of the cohort, and different analytic approaches provided comparable results.

52 pproaches that help account for confounding: analytic approaches that account for measured traits and

53 By contrast, previous analytic approaches yielded estimates that appeared to b

54 Using novel nonparametric and mixed effects analytic approaches, we evaluated influences of X chromo

55 We combined two analytic approaches: one that analyses intervals between

56 owever, concurrent advances in advanced data analytics are lagging.

57 Network science and data analytics are used to quantify static and dynamic struct

58 ide cross-trait analysis features in several analytic aspects: genetic correlation, cross-trait meta-

59 BUndle ANalytics (BUAN) is a fast, robust, and flexible computa

60 On the basis of exact analytic calculations and full-wave causal simulations,

61 th the Standard Model, and report results of analytic calculations and simulations that show they spi

62 tion and behavioral performance by combining analytic calculations with a novel nonparametric method

63 Advances in automation and data analytics can aid exploration of the complex chemistry o

64 grant the individual user with a laptop the analytic capabilities of a large consortium.

65 asoning by the forecasters combined with the analytic capabilities of the machine models should compl

66 among multi-level omic data bring tremendous analytic challenges.

67 scent CaCO(3) beads, their spectroscopic and analytic characterization, and their conjugation with ba

68 the existing literature, we provide rigorous analytic characterizations of multiple modes.

69 ew studies critically assess implications of analytic choices made when employing this methodology fo

70 with a suitable combination of covariates or analytic choices.

71 ut data were grouped into three primary meta-analytic classes: gray matter atrophy, increased functio

72 Of 9422 patients in the analytic cohort (median age 63 years; 33% female; 75% Wh

73 The analytic cohort comprised 6804 EVR patients (median foll

74 A decision-analytic cohort simulation model for colorectal adenoma

75 Among 2252 women in the analytic cohort, 1605 (71.3%) underwent implant-based an

76 Among 2129 veterans in the analytic cohort, 658 (26.7%) received LT, 244 (11.5%) un

77 Here, we develop a transformational spatial analytics computational and systems biology platform (Sp

78 ing applications, where the detection of low analytic concentrations is required.

79 systematic review, we found a high degree of analytic consensus for the fiscal feasibility of a singl

80 of each recommendation and discusses related analytic considerations, caveats, and reservations.

81 We used meta-analytic coordinates of decreased grey matter volume in

82 Developed rapid data analytics could be extended to link phenotypes to pertur

83 ng advantage of the great potential advanced analytics could provide to this field.

84 set and gene-wide analyses, using ADHD meta-analytic data from the Psychiatric Genomics Consortium f

85 and, finally, to test how well this new meta-analytic data sample on intelligence predicts phenotypic

86 d and gene-set analyses in the ADHD-ICV meta-analytic data showed association with variation in neuri

87 Meta-analytic decoding of these topographic dissociations hig

88 This analytic description can then be used to incorporate the

89 The goal is to provide an analytic description of the detailed evolution of a comp

90 We develop an analytic description to model the dynamics in two dimens

91 Furthermore, a meta-analytic effect summarizing n = 10 similar studies indic

92 se', which was supported by diminishing meta-analytic effects of several genetic variants over time.

93 ee text] 15 mum, recent studies have derived analytic equations for breakdown voltage when field emis

94 tic search algorithm to yield an approximate analytic estimation solution using summary statistics on

95 ion of most printed components is lower than analytic estimations and radiographic imaging shows no v

96 We review meta-analytic evidence showing that 60-80% of distressed coup

97 Overall, the meta-analytic evidence was not robust.

98 erging data science techniques of predictive analytics expand the quality and quantity of complex dat

99 This is done with analytic expressions derived from first physical princip

100 develop a mathematical framework and derive analytic expressions for the velocity and run length of

101 We provide the first analytic expressions for these parameters, and we show t

102 The analytic expressions provide the statistics of the acous

103 act for the Elderly (1999-2002) and Medicaid Analytic eXtract (2000-2007) databases (United States) a

104 act for the Elderly (1999-2002) and Medicaid Analytic eXtract (2000-2007) databases (United States),

105 Using the United States Medicaid Analytic eXtract (MAX) dataset, we conducted a populatio

106 parison data were obtained from the Medicaid Analytic Extract database, restricted to states particip

107 % Medicare Inpatient and Outpatient Standard Analytic Files (SAFs) from years 2012 to 2016.

108 hese results are consistent with recent meta-analytic findings and challenge the widespread belief th

109 w strategies for repeat detection with graph analytics for the discovery of variants.

110 Importantly, our model (i) affords a concise analytic form, (ii) qualitatively explains the effects o

111 General analytic formulae are derived which account for the inst

112 m(5) prevents the derivation of tractable(6) analytic formulae that deterministically map initial con

113 We also derive analytic formulas for assessing species composition (i.e

114 f high-dimensional temporal genomic data, an analytic framework guided by a robust theory is needed t

115 degenerate systems provides a conceptual and analytic framework to guide future theoretical and exper

116 Using a decision-analytic framework, we evaluated the effect of PPCI vers

117 We constructed an automated predictive analytics framework for machine-learning algorithm with

118 H-MAGMA adds to existing analytic frameworks to help identify the neurobiological

119 adients are correlated with patterns of meta-analytic functional activation, differentiating cognitiv

120 Advances in areas such as data analytics, genomics, and imaging have revealed individua

121 Medical big data analytics has revolutionized the human healthcare system

122 Advances in digital technologies and data analytics have created unparalleled opportunities to ass

123 gies along with concomitant advances in data analytics have enabled monitoring of cells at the single

124 Increasingly refined single-cell analytics have revealed diversity among tuft cells that

125 The analytic hierarchy process method was enhanced with dist

126 Despite conceptual and analytic idiosyncrasies linked with dichotomization of c

127 e analysis can enhance multidimensional data analytics in biology and disease.

128 further foster the application of predictive analytics in clinical medicine and public health.

129 n various subfields of food science, such as analytics in food chemistry, food engineering, food tech

130 but also promote the development of big data analytics in intelligent sports industry.

131 g, and Blood Institute to explore predictive analytics in the context of implementation science.

132 By using a combination of computational analytics, in situ hybridization and in vitro characteri

133 arketScan Database (2011-2015; Truven Health Analytics Inc., Ann Arbor, Michigan) and the Nationwide

134 Combining the power of Big data analytics (including AI) with existing and future urban

135 usly every 3 weeks for up to 24 weeks during analytic interruption of ART, followed by continued obse

136 We used a decision analytic Markov model informed by recent multicenter, si

137 We constructed a decision-analytic Markov model to estimate the costs and benefits

138 We developed decision-analytic Markov models for separate and combined screeni

139 ients with MDD, using a newly developed meta-analytic mask compatible with seed-based d mapping (SDM)

140 rm with high accuracy, thereby serving as an analytics medium which minimizes error rate.

141 severity of glaucoma, a previously developed analytic method based on photographic retinal nerve fibe

142 We derive and validate a novel and analytic method for estimating the probability that an e

143 adequate studies for each algorithm for meta-analytic methodology for both heart failure and cardiac

144 To develop novel analytic methods for assessing renal autoregulation, we

145 It is desirable to develop powerful analytic methods for incorporating valuable pathway info

146 However, application of emerging analytic methods in the context of selection bias repres

147 schema (S value) and can be calculated with analytic methods or Monte Carlo methods, the latter in m

148 qualitatively different sources of data and analytic methods point unanimously in the same direction

149 We tested different analytic methods to aid in the interpretation of these r

150 However, as with all analytic methods using observational data, residual conf

151 Big data and predictive analytic methods will be part of the new approaches for

152 in various clonal evolution diagrams, visual analytics methods that reveal the spatial clonal archite

153 We used a decision-analytic model for 1000 key workers to compare the basel

154 The analytic model reveals that the propagating mode of a pl

155 An analytic model reveals the underlying mechanism of adhes

156 We used a decision analytic model to compare self-administered individual t

157 We used a decision analytic model to consider the value of different TKI ap

158 Materials and Methods A Markov decision-analytic model was constructed accounting for both costs

159 A decision-analytic model was constructed to evaluate the 1-year co

160 Materials and Methods A Markov decision-analytic model with a societal perspective was construct

161 reening program will be assessed by decision analytic modeling.

162 y, driven in large part by the wide range of analytic models and metagenomic data types available.

163 Analytic models of the oscillating and coupled voltage s

164 Our aim was to combine two decision analytic models to determine the minimum diagnostic accu

165 Conclusion: Decision analytic models were used to determine the minimum accep

166 In Experiment 2, performance analytics of OCFU, IMJM and SCC were compared.

167 , we aim to lower the entry barrier into the analytics of polyP, a molecule with prominent, yet often

168 Predictive analytics of the NN's staging of TMJOA compared to the r

169 Key points: (i) the single-subject analytics of the transcriptome shows the greatest develo

170 t of advances in imaging and software-guided analytics on emerging histopathology practices.

171 ented in this work takes microorganism-based analytics one step closer to field application in decent

172 We aimed to build a visual analytics-oriented web server to detect and visualize co

173 ffectiveness of the approach using different analytic outcomes from RNA-Seq studies, this method is e

174 To address this issue, we applied a meta-analytic parcellation approach used in prior work.

175 ion and thrombotic) that are identifiable by analytics patterns.

176 These results demonstrate the analytic performance of a laboratory-validated mNGS assa

177 by RNA sequencing, but until now, a rigorous analytic pipeline for nuclear RNA-seq has been lacking.

178 The authors' analytic pipeline provides additional insight into the m

179 Through an integrative analytic pipeline, we showed that tumors from patients w

180 new workflows and visually build multi-step analytics pipelines.

181 ated ProVision, a free open-source web-based analytics platform that allows users to analyze data fro

182 gland, we created OpenSAFELY-a secure health analytics platform that covers 40% of all patients in En

183 -oriented and artificial intelligence-driven analytics platform, enables the broad research community

184 oaded continuously via smartphone to a cloud analytics platform.

185 Fortunately, automated commercial analytic platforms that can interpret shotgun metagenomi

186 Meta-analytic pooling was not possible due to variations in s

187 of temporally local controls that maximizes analytic power while minimizing noise from unspecified e

188 modeling can inform current theory and data analytic practices in human functional neuroimaging, giv

189 hs-cTn assays have higher analytic precision at lower concentrations, yielding gre

190 An analytic procedure is developed to accurately calculate

191 ere appropriately characterized using common analytic procedures (XRD, FTIR, and MDSC).

192 llowing us to incorporate the well-developed analytic procedures into the framework for analyzing ove

193 s exploring how complementary worldviews and analytic procedures might further the development of an

194 ining effect sizes using random effects meta-analytic procedures.

195 Using an open-access spatiotemporal analytics program, we mapped spatiotemporal heterogeneit

196 omated operation of this nanofluidic protein analytics reduces design complexity and offers more deta

197 production number R0 for the system, provide analytic results for the extreme cases of no mosquito mo

198 of heterogeneity across studies, these meta-analytic results from 30 studies are consistent with a v

199 ing of providers and laboratory personnel to analytic results or clinical status, respectively.

200 Concordantly, the meta-analytic results suggest a significant difference in 2D:

201 rmation bias and social connectivity through analytic results.

202 We performed a meta-analytic review of the effects of invasive plants on nat

203 e discrepancies, we carried out several meta-analytic reviews.

204 All available software for ONT data analytics run on cloud/clusters or personal computers.

205 andomized neonates, 208 were included in the analytic sample (55% male; 76% singleton births; mean bi

206 The analytic sample comprised 562 participants with data ava

207 The analytic sample included 266 person-admissions in which

208 Our final analytic sample included 4,918 White and 1,546 Black ind

209 Meta-analytic sample sizes ranged from 152,348 to 433,216, de

210 The analytic sample with hypertension (N=664) had a mean age

211 72-1973 birth cohort in New Zealand (N = 564 analytic sample) to age 45 years (until April 2019).

212 Of the 83,990 women included in the analytic sample, 10.7% (9,019) experienced severe drough

213 current reference populations and available analytic samples and the (2) unequal generation of healt

214 n alternative hs-cTnI assay with even higher analytic sensitivity (limit of detection, 0.1 ng/L).

215 pes of genomic variation with high levels of analytic sensitivity and reproducibility, and variant in

216 The analytic sensitivity of TsolR13 was 97.3% at 240 attogra

217 patible with seed-based d mapping (SDM) meta-analytic software.

218 -MS/MS data were processed by a blended data analytics software (Xenophile) to detect the amino acid

219 a fundamental role, thanks to the asymptotic analytic solution found by Cugliandolo and Kurchan.

220 In this study, a general 1D analytic solution of the CDRS equation is obtained by us

221 Derivations of the analytic solutions are found to be straightforward if a

222 We derive analytic solutions for both subshear cracks and the lead

223 so provides a general formalism to derive 1D analytic solutions for Dirichlet/Dirichlet and Dirichlet

224 The availability of analytic solutions is limited to simple cases, e.g., uns

225 r interpretation is given for convergence of analytic solutions through error table and flow behavior

226 shapes into 2D ribbon components allows for analytic solutions to the inverse design of centrally sy

227 grams (ag) of T. solium genomic DNA and 100% analytic specificity.

228 In the analytic stage, real-time reverse transcription-PCR (RT-

229 However, by using alternative analytic strategies and studying related individuals, pa

230 erimental workflows, imaging acquisition and analytic strategies for quantification and biological in

231 tcome measurement, candidate predictors, and analytic strategies used were extracted.

232 earch objectives to justify and to guide the analytic strategy of PROs to facilitate the interpretati

233 statistically associated with illness in two analytic studies (6 of 7 cases vs. 0 of 7 controls; odds

234 rn building a set of tools for numerical and analytic studies of a pinned membrane.

235 The search yielded 15 meta-analytic studies reporting on genetic variations in 10 g

236 The multi-analytic study reported here of the by-products of burni

237 s and females across 3 samples) and one meta-analytic (Study 2: N = 307 across 12 samples), we sought

238 This review provides an analytic summary of experimental studies of these phenom

239 piviz Feed, a proactive and automatic visual analytics system integrated with Epiviz that alleviates

240 Using a meta-analytic technique to account for inter-site differences

241 Mendelian randomization (MR) is an analytic technique using germline genetic variants as in

242 based on subsets (ASSET), a pleiotropic meta-analytic technique, allowed jointly associated loci to b

243 Multiple traditional analytic techniques confirmed and extended the hierarchi

244 ds, their different synthesis protocols, and analytic techniques for determination of their compositi

245 Unfortunately, the lack of analytic techniques has hindered researchers' ability to

246 Person-specific analytic techniques revealed a number of idiosyncratic f

247 Applying big-data analytic techniques to brain images from 18,707 individu

248 Here, using newly developed analytic techniques to characterize the moment-to-moment

249 We used meta-analytic techniques to generate pooled estimates for any

250 apply a combination of genomic and molecular analytic techniques to investigate which genes are respo

251 Thus, we used meta-analytic techniques to quantify the magnitude of this re

252 lo simulation as well as other numerical and analytic techniques, only for Dirac fermions with long-r

253 ntial possible applications of this suite of analytic techniques.

254 ific associations were summarized using meta-analytic techniques.

255 ational studies that have incorporated these analytic techniques.

256 al organoid cultures, and transformative new analytic technologies have opened new experimental pathw

257 Strengths and limitations of various analytic test systems are considered in the context of p

258 workshop-style training in single-cell data analytics that relies on an explorative data analysis to

259 With appropriately developed analytics, the same data can be used for prediction of a

260 The analytic themes in this synthesis suggest that second-le

261 Four analytic themes were identified: undifferentiated role;

262 ative and iterative process led to the final analytic themes.

263 The results of the analytic theory are compared with simulation results obt

264 rtex fields; electromagnetic simulations and analytic theory confirm the presence of plasmonic meron

265 Here we use analytic theory to explain the phase behavior of the can

266 pment of intuitive local pictures and simple analytic theory.

267 Combined with context and analytics, these signals hold great promise to advance n

268 Indeed, he is lower in analytic thinking and higher in confidence than almost a

269 device innovation and machine learning data analytics, this paper shows that the DAS technique can b

270 econd read," they were also provided with AI analytics through computer-aided diagnosis software.

271 ry-free operation; real-time, in-sensor data analytics; time-synchronized, continuous data streaming;

272 espect to traditional statistical predictive analytics, TL increased the accuracy in identifying subj

273 We used advanced basketball analytics to derive a quantitative measure of surprise a

274 ges; (ii) transforming the images into image analytics to form a modelling dataset; and (iii) constru

275 nformation, and the application of resulting analytics to health and health care issues will require

276 applying deep learning methods and advanced analytics to improve disease management at an individual

277 The resulting meta-analytic tool, neuroquery.org, can ground hypothesis gen

278 ent ClinOmicsTrailbc, a comprehensive visual analytics tool for breast cancer decision support that p

279 OmicsTrailbc is a powerful integrated visual analytics tool for breast cancer research in general and

280 While numeric approaches are successful, analytic tools and conceptual frameworks are largely lac

281 most flexible, intuitive, and powerful data analytic tools for exploring complex data structures.

282 ciplines, and biosensors emerged as powerful analytic tools for use in environmental P(i) monitoring,

283 development of novel data-driven functional analytic tools has enabled the derivation of individuali

284 However, analytic tools have not been fully developed to simultan

285 Analytic tools to produce multi-locus genotypes of hosts

286 ability of real-world data and advanced data analytic tools, have led to claims that common sense and

287 astructure and a large selection of flexible analytic tools, the Sentinel System permits rapid and se

288 , and zero-inflation, which require tailored analytic tools.

289 to evaluate the CNS safety of studies using analytic treatment interruption (ATI) to assess HIV remi

290 therapy during acute infection and underwent analytic treatment interruption (ATI).

291 ed from plasma of six individuals undergoing analytic treatment interruption (ATI).

292 of resistance in HIV-infected persons after analytic treatment interruption.

293 notherapy in HIV-infected persons undergoing analytic treatment interruption.

294 cal trials to study viral dynamics following analytic treatment interruption.

295 roscopy as a rapid, convenient and effective analytic validation method to detect the presence of thi

296 surrogacy of EFS for OS using a 2-stage meta-analytic validation model by determining the correlation

297 Using single-cell analytics, we identify multiple EC populations in the mo

298 literature showing that, with improvement of analytics, WGS data could be used to predict antimicrobi

299 screening platform, coined picofractionation analytics, which encompasses microarray bioassays and ma

300 The emerging next-generation analytics will maximize the utility of omics data and le