ライフサイエンスコーパス: method

1 els and the conventional region growing (RG) method.

2 The complexes have been obtained by kneading method.

3 and expand knowledge through the scientific method.

4 CIs were obtained using the Clopper-Pearson method.

5 sure and age group using the Clopper-Pearson method.

6 -analyses using the generic inverse variance method.

7 tected by a sensitive chemiluminescence (CL) method.

8 anscriptome-wide, single molecule SM-PAT-seq method.

9 s tested by the Phenix based fully automatic method.

10 es batch effect compared with other existing methods.

11 rning model in conjunction with standard DFT methods.

12 t in lasso proteins in comparison with other methods.

13 ripts for training and testing deep learning methods.

14 was determined by optical and spectroscopic methods.

15 nning) and flour/semolina, using UHPLC-MS/MS methods.

16 uishing tremor and ataxia using quantitative methods.

17 yze the network topology by state-of-the-art methods.

18 posomes was prepared by thin film dispersion methods.

19 against that of conventional image upscaling methods.

20 ce and outcomes of chemical machine learning methods.

21 rafts compared with conventional hypothermic methods.

22 dida species, undetected by standard-of-care methods.

23 dence gRNA cleavage sites identified by both methods.

24 eat expansions not discoverable via existing methods.

25 improved by using the reverse phase encoding method (0.4%-44%).

26 We develop the contamination mixture method, a method for MR with two modalities.

27 factors (TFs) and their target genes, with a method able to handle both the high number of interactin

28 sion coefficients were identical between the methods (absolute difference <10(-7)).

29 that general and dynamic feature replacement methods achieve a higher performance than classic univar

30 Statistically, Our method achieves state-of-the-art accuracy of 99.15% on H

31 Methods: All (18)F-fluciclovine and (68)Ga-PSMA-11 PET s

32 This new method allowed calculation of kinetic features of these

33 This method allows for the orthogonal acetalization of substr

34 Our method allows to properly include, in continuous phyloge

35 A specific class of deep learning-based methods allows for the prediction of regulatory effects

36 rtality and suicide (by firearm and by other methods) among men and women.

37 Method analytical and operational characteristics were s

38 The current SNP index method and G-statistic method for BSA-Seq data analysis

39 es expand the applicability of this powerful method and its accessibility to non-specialist users.

40 cal interpretation across 8 machine learning methods and 4 different types of metagenomic data.

41 Methods and Results The COMPASS study (Comprehensive Pos

42 suggest that by employing advanced ensemble methods and using past information, it is possible to pr

43 e preparation, an ultra-fast 84-second LC-MS method, and barcoded nanopore sequencing to rapidly isol

44 We review iEcology data sources and methods, and provide examples of potential research appl

45 nstrate that ULM microbubble data processing methods, applied to images acquired with a Verasonics Va

46 The key ideas of our method are the formation of compressed zones and junctio

47 Novel methods are emerging for more efficiently sourcing these

48 owever, data on performance of commonly used methods are limited.

49 phage engineering and several newly proposed methods are often inefficient and time consuming and con

50 or in combination with other polymerization methods are reviewed, as these play an important role in

51 understand how portable current ONT analysis methods are.

52 e services, including short- and long-acting methods, are available, even in protracted crisis settin

53 We present the method as a challenge to the community to determine its

54 ression were identified with the TWAS FUSION method, based on summary statistics from the largest gen

55 te models are the most preferred 3D printing method by surgeons.

56 We tested the method by using public WGBS data and found that it is ve

57 process evaluations that involve qualitative methods by searching electronic databases from January 1

58 ty-based clustering and the VF decomposition method called "archetypal analysis" to annotate the dash

59 n of the Irreproducible Discovery Rate (IDR) method called IDR2D that identifies replicable interacti

60 of markers, a penalized multiple regression method can be adopted by fitting all bins to a single mo

61 This method can be applied to routine clinical CT scans acqui

62 Sequence labeling method can be successfully used to extract document-leve

63 Furthermore, we also demonstrate that this method can be used for the preparation and late-stage fu

64 More broadly, the MG2G method can be used in studying multiple brain disorders

65 is of real and simulated data shows that our method can identify large expansions of 41 out of 44 pat

66 n in vivo solid-phase microextraction (SPME) method capable of analyzing drugs and metabolic products

67 Our method combines computational geometry and graph theory

68 The method combines encoded LBTs, which are tags of minimal

69 We then apply reduced-form econometric methods, commonly used to measure the effect of policies

70 he power of electrochemical oxidations, this method complements the existing organoboron toolbox.

71 Our ICP-MS-based method comprises the analysis of 20 elements (Mg, P, S,

72 low levels of HCPs, we demonstrated that our method could detect HCP with low molecular weight (11 kD

73 The method described here is minimally invasive, and for the

74 r a wide range of DBPs, producing the lowest method detection limits to-date for many compounds, incl

75 Ecologically, the DIB method developed could determine the variation of TPCs w

76 The method developed in this study permits spatially explici

77 Materials and Methods DLR was compared with filtered back projection (

78 ncing and alpha-1 antitrypsin concentrations.Methods: DNA samples from 1,693 non-Hispanic white indiv

79 have potential for scalability, but current methods do not scale to mammalian genomes.

80 The method does not require prior knowledge of reference gen

81 datasets using 12 high-throughput experiment methods (e.g. H3K4me1/H3K27ac, DNase-seq/ATAC-seq, P300,

82 reas) (AE-LC-MS/MS) was used in the LC-MS/MS methods, each in a single enzymatic step.

83 gy with a sensitivity comparable to in vitro methods, enabling the measurement of energy landscapes i

84 risk assessment (ERA) that ideally builds on methods established for conventional chemicals to ensure

85 a postnatal model due to prolonged hyperoxia.Methods: ETX or sFlt-1 were administered into the amniot

86 ing discovered, there is a pressing need for methods facilitating the expansion of computational mode

87 In this study, we developed a method, FamANC, that can improve the accuracy of local a

88 Our method first employs stacked deep ResNets to perform res

89 Methods: Five patients with a prior diagnosis of breast

90 Methods: Five rationally designed low-molecular-weight l

91 uid-liquid extraction in a single extraction method for a wide range of DBPs, producing the lowest me

92 We present a new, automated method for arriving at a classification of a MALDI-ToF s

93 The current SNP index method and G-statistic method for BSA-Seq data analysis require relatively high

94 tilized a smartphone-based image acquisition method for capturing RBC images from the SCD patients in

95 Fermentation as a production method for chemicals is especially attractive, as it is

96 present Spectrum, a new spectral clustering method for complex omic data.

97 The interest of using LC-MS/MS as a method for detection of allergens in food is growing.

98 and NASH, liver biopsy is the only accepted method for diagnosis of NASH.

99 The derived equations create an alternative method for estimating label incorporation.

100 e that broth microdilution may be a reliable method for fosfomycin susceptibility testing against P.

101 al Zero-Inflated Network Estimation (COZINE) method for inference of microbial networks which address

102 Here we describe a method for isolating human gut-associated lymphoid tissu

103 ose of this investigation was to establish a method for isolation of human stem cells from the PDL an

104 techniques, there is still not any official method for it.

105 develop the contamination mixture method, a method for MR with two modalities.

106 In summary, we present a method for ordering patients along a trajectory of LOAD

107 This work provides a facile and effective method for preparing amorphous Pd nanomaterials, and dem

108 3D printing proved to be a suitable and fast method for replicating nasal cavity structures and for t

109 testing M3C, we developed clusterlab, a new method for simulating multivariate Gaussian clusters.

110 Here, a novel method for targeted near-infrared (NIR) fluorescence ima

111 we demonstrate a robust high-content imaging method for the assessment of synaptic changes and apply

112 A rapid and reliable method for the differentiation between active and inacti

113 er the last two decades as a straightforward method for the formation of C(sp(3))-C(sp(2)) bonds.

114 Previously, we developed an efficient method for the simultaneous quantification of 6 isoflavo

115 orous ions and represents a new and powerful method for the synthesis of porous solids with tailored

116 ere we report ac(4)C-seq, a chemical genomic method for the transcriptome-wide quantitative mapping o

117 Popular methods for absolute protein quantitation by mass spectr

118 which this knowledge, coupled with improved methods for characterizing communities, might lead to im

119 study may boost the use of non-targeted NMR methods for food control.

120 binomialRF extends upon previous methods for identifying interpretable features in RFs an

121 l advantages of fMRI functional connectivity methods for improving our understanding of functional ne

122 These ultra-quantification methods for LAMP amplification either singularly or in c

123 or at scale are impeded by the fact that our methods for measuring human behavior are typically devel

124 can handle more diverse problems than other methods for musculoskeletal simulation.

125 address this need, we systematically assess methods for reconstructing tumor subclonality.

126 Extraction methods for samples in microfluidic systems have been li

127 very, we review key applications of advanced methods for sampling complex free-energy landscapes at n

128 iate statistical models and machine learning methods for the classification of 6 types based on colou

129 Although there are numerous well-established methods for the determination of DP and F(A) values, thi

130 ds in many areas of chemistry, and efficient methods for their synthesis are continually desired.

131 Established methods for whole-genome-sequencing (WGS) technology all

132 Methods: For physiologic evaluation of the mouse hotel,

133 Methods: Forty-three patients with cerebral gliomas (9 l

134 Additionally, this method generated monolayers with enhanced barrier integr

135 study of major depressive disorder.The cnCV method has similar training and validation accuracy to n

136 owever, most studies that used the Primer-ID method have analyzed clinical samples directly.

137 Advances in cancer screening methods have opened avenues for incidental findings and

138 Vastly used analytical methods have so far struggled to provide a fast and reli

139 Using this method, identification of all particles present in small

140 We also compared whether the methods identify the optimal arterial blood pressure (AB

141 Here, we demonstrate the application of this method in a fast ultra-high performance liquid chromatog

142 tudy was to evaluate the performance of this method in a multicenter study including 16 teaching hosp

143 We illustrate this method in the case of the amyloid beta (Abeta) peptide,

144 In response, we directly test the original methods in a multinational study (n = 4,098 participants

145 We further illustrate the benefits of our methods in applications to summary-level GWASs data of 3

146 Nonetheless, robust application of these methods in cellular populations without side effects has

147 at MKpLMM consistently outperforms competing methods in phenotype prediction.

148 ExUS outperforms existing network estimation methods in this context, and apply it to learn network s

149 Materials and Methods In this retrospective study, patients who underw

150 cle motion during contraction and relaxation.Methods: In 20 healthy volunteers, diaphragmatic TDI was

151 Methods: In total, 37 patients with a confirmed STS of t

152 and secondary amines may be inserted by this method, including enantiomerically pure amino acids, ena

153 nsertions that were missed by Illumina-based methods, including a novel micropia-like element that ha

154 her advances, deep-learning machine learning methods, including convolutional neural networks, have e

155 herapy have led to adoption of some of these methods into routine clinical practice in some centers.

156 We show that the GLN method is a significantly faster technique to detect ent

157 Cbf1p and MAX, we demonstrate that the CCRA method is able to detect small changes in binding free e

158 The method is based on conversion of carboxylic acids to the

159 The Protein-Probe method is based on highly luminescent europium chelate-c

160 A new tissue sample embedding and processing method is presented that provides downstream compatibili

161 Here, a scalable method is shown for the fabrication of strong and highly

162 We demonstrate that this method is suited to both 3D structure determination and

163 The robust method is tolerant of a wide range of functionalities, i

164 ng (NIR-HSI), together with machine learning methods, is valuable to improve the efficiency in the as

165 We proposed a new normalization method, labeled MIXnorm, for FFPE RNA-seq data.

166 However, current MHC-binding prediction methods lack an analysis of the major conformational sta

167 Materials and Methods Lesions classified as clustered microcysts at br

168 benchmarking with Bayesian and non-Bayesian methods (LSD, TreeTime, and treedater), we found that no

169 veloped for RNA hairpin systems, the general method may be applied to investigate other RNA systems,

170 We estimate that these methods may underestimate the amount of contaminant by a

171 ples, which further complicates the analysis methods needed.

172 The fields of Electronic Structure Methods, Non-Adiabatic Molecular Dynamics, and Theoretic

173 ethodology (SM) Directive, standardizing the method of determining appropriate nurse staffing for VHA

174 cost effective, accessible, and non-invasive method of isolating viable human cells present at the si

175 Here, we present and validate a novel method of MRI velocity-encoding combined with a motion-r

176 The proposed biosensor and method of native kinetic registration can be used to dev

177 Herein, we introduce a novel method of photodynamic effect evaluation through in situ

178 Our study reports a unique method of resolution enhancement purely relying on post-

179 Here, for the first time, we present a method of transient as well as stable transfection of th

180 c basis of sex determination may lead to new methods of managing these troublesome weeds.

181 e of the most versatile and powerful imaging methods of the nanoscale over the past two decades.

182 Together, these emerging methods offer promising new directions in the study of n

183 e and contrast enrichment and classification methods, offering two contributions.

184 nalysis techniques, such as the Kaplan-Meier method, often are not appropriate for such situations.

185 We applied our method on a very comprehensive data collection by includ

186 ;Cx43(fx/fx) ;Cx37(-/-) mice, we tested our method on lymphatic valves displaying a wide range of dy

187 Further, the application of the method on various environmental samples was investigated

188 Compared to previous SBT methods, on real RNA-seq data, HowDe-SBT can construct t

189 of synthetic datasets, which is an emerging method originally developed to permit the sharing of con

190 CMR-FT and the three echocardiography gating methods (p > 0.05 for all).

191 , TreeTime, and treedater), we found that no method performed the best in every scenario.

192 Methods: Phantom measurements with single-, dual- and tr

193 Our method, PIZSA (Protein Interaction Z-Score Assessment),

194 k for patients with different ACS phenotypes.Methods: Post hoc analysis of the ISAACC (Continuous Pos

195 ts, and algae with grazers-we show that this method predicts the results of unobserved experiments wi

196 Taken together, these new materials and methods provide access to colloidal crystals that incorp

197 Passive acoustic methods provide continuous monitoring of soniferous spec

198 Our method provides a robust technique for measuring iliopso

199 The method provides a tractable solution to reduce the time

200 concordant between noninvasive and invasive methods (r(2)=0.5; CC=0.71).

201 One of these methods, region-specific extraction (RSE) is characteriz

202 Our method relies on measurements of the width of a broad sp

203 MM-PB/GBSA methods represent a higher-level scoring theory than doc

204 icating their analysis and identification by methods routinely used for bacteria, including matrix-as

205 is can result in unsubstantiated claims of a method's performance.

206 The presented method showed a stable baseline and high-resolution sepa

207 tman plot, used to compare the 2 measurement methods, showed a mean value of -2.9 prism diopters (PD)

208 rformance of our universal functionalization method, showing limits of detection and quantification i

209 Therefore, our method shows encouraging results in predicting the CT nu

210 The method shows good linearity for the 16 pesticides studie

211 iexponential mapping, the VN-ST was the best method starting with MNAD of 7.4% for AF = 2 and reachin

212 The feature fusion method statistically significantly outperformed using DC

213 Moreover, chemical releasing methods, such as beta-elimination/Michael addition, are

214 Needs assessments can be done using existing methods, such as those established for development of na

215 nce than classic univariate and multivariate methods, supporting the hypothesis that algorithmic mana

216 Methods: Ten patients with a peripheral AVM (mean age, 4

217 s in this study were to (i) validate a LC-MS method that assesses HBP flux as UDP-GlcNAc ((13)C)-mola

218 to develop a novel computational phenotyping method that groups brain regions from MRI and subsets of

219 toichiometry, we introduce a model-selection method that is applicable for any multimeric complex by

220 oppler imaging (TDI) is an echocardiographic method that measures the velocity of moving tissue.Objec

221 Automated algorithmic clustering methods that are able to cluster features in a fast and

222 overview of functional genomic resources and methods that can be used to interpret results from genom

223 til now, there has been a lack of analytical methods that can reliably verify the authenticity of org

224 TMD research, discussing both the synthetic methods that have enabled the preparation of these mater

225 Our laboratory has developed robust methods that integrate small-peptide units into designed

226 al processes, but there are few non-invasive methods that provide quantification of these components

227 tion resulting in mixtures, or site-specific methods that require multiple steps, introduction of mut

228 bed a new, comprehensive system of in silico methods that take only protein sequence as input to pred

229 With this method, the natural product pyrolaside B was synthesized

230 Materials and Methods This study was a retrospective trend analysis of

231 assessment of synaptic changes and apply the method to brain homogenates from an Alzheimer's disease

232 By a stepwise method to capture all available adverse events, we first

233 vage by developing the new CAP-STRUCTURE-seq method to capture the intact mRNA structurome in Arabido

234 ediates at low temperature and creates a new method to characterize elusive intermediates in multiple

235 this challenge, here we present an enzymatic method to clean up and reconfigure DNA-origami structure

236 ture TBI development by providing a rational method to compare different candidates.

237 The power of our method to correctly infer expression states is generally

238 Here we used the method to date the exploitation of dairy and carcass pro

239 ngle-cell aggregation and integration (scAI) method to deconvolute cellular heterogeneity from parall

240 ped a gradient-based unsupervised clustering method to extract the patterns learned by the ResNet mod

241 scaffold DNA priming immunization provides a method to focus immune responses to the desired target r

242 We report a versatile and selective method to functionalize peptides and proteins through fr

243 er light could be recommended as a promising method to improve the nutritional and health-promoting v

244 pplied a Markov Chain Monte-Carlo simulation method to impute missing data and then fed the selected

245 Future work will apply this method to in vivo data, potentially providing an importa

246 We provide a method to interchange between number, volume, and mass c

247 rusemark and colleagues recently described a method to introduce DELs into living cells and recover c

248 mal-oxidative compositional inversion (TOCI) method to introduce fractal-like structures on the surfa

249 study supports atrophy network mapping as a method to localize clinical, cognitive, and neuropsychia

250 We apply our method to measure the force dependence of the viscoelast

251 Herein, we established a novel method to quantify SCFAs by coupling amidation derivatiz

252 We herein propose a method to rapidly and noninvasively detect the associate

253 f Probes to RNA for sequencing (HyPR-seq), a method to sensitively quantify the expression of hundred

254 -vision-based single-particle analysis (SPA) method to successfully determine the pH-solubility profi

255 Here we develop a non-invasive method to track spatial oxygen distributions in tumors d

256 theoretical model, in this paper we develop methods to add signal to real RNA-seq datasets.

257 The development of robust catalytic methods to assemble tertiary alkylamines provides a cont

258 Commonly used methods to assess crystallinity, micro-/mesoporosity, Br

259 ability during ex vivo culture has improved, methods to assess Treg stability such as bisulfite Sange

260 urage larger efforts to apply chemoproteomic methods to assist in target identification of antimalari

261 Availability of methods to better characterize protein conformation may

262 The application of such methods to broadly available clinical samples such as fo

263 Experimental methods to determine disease related miRNAs are time con

264 We applied the methods to determine HIV prevalence in men having sex wi

265 ation testing and polygenic risk score (PRS) methods to examine rare and common variants.

266 Emerging methods to infer cellular functions are beginning to she

267 enables the development of machine-learning methods to predict the likely biological activity of enc

268 However, unbiased methods to profile GxE genome-wide are nascent and, as w

269 athogen's slow doubling time and the lack of methods to quickly quantify the pathogen's response to b

270 the N-terminus would enable O-glycoproteomic methods to rely solely on collision-based fragmentation

271 ens the door for nanoengineered, solar-based methods to remediate recalcitrant micropollutants in wat

272 tic health, the responses to injury, and new methods to study lung repair and regeneration.

273 on steps to address the lack of experimental methods to systematically identify such extreme interact

274 side by side with other single-cell analysis methods, to illustrate when it is advantageous to use th

275 The final optimized method uses salt-assisted liquid-liquid extraction in a

276 We also tested our method using 121 processed food products and consistentl

277 We also compare these methods using real RNA-seq data from a study of major de

278 rt that must be invested for intralaboratory method validation.

279 In addition, the method was applied to the determination of glycopeptides

280 plet surface tension (WDST) based innovative method was developed that can quantify saponin content i

281 n protocol compatible with this inactivation method was developed.

282 A significant contribution from the Bayesian method was realizing that the variability of the estimat

283 This method was successfully used in several 'inverse drug di

284 The method was validated for analysis of selected ethyl este

285 The method was validated on fish or swine processed food pro

286 In search of a method we tested the hypothesis that the physiologically

287 In the second method, we observe the changes that occur simultaneously

288 Using a network propagation method, we ranked candidate genes by their similarity to

289 To validate the clinical relevance of these methods, we quantified the prediction of behavioural def

290 ction and the development of CF lung disease.Methods: We performed single-cell RNA sequencing of sput

291 osely examine the Crs-mortality relationship.Methods: We undertook a secondary analysis of patients w

292 ment the experimental results, the in silico methods were further employed to add single molecule lev

293 Effective Practice and Organisation of Care methods were used to assess risk of bias for the glycemi

294 MAIC out-performs other meta-analysis methods when using our CRISPR screen as validation data.

295 ss status in comparison to the TVB-N and TVC method which takes many hours to complete involving many

296 characterized through exhaustive analytical methods which detail the mechanism while confirming the

297 OpenSim Moco uses the direct collocation method, which is often faster and can handle more divers

298 Analytical and physicochemical methods, which provide information at different time and

299 This semiquantitative method will enable the procurement of exposure concentra

300 An unbiased protein sequencing method, with a dynamic range that covers the full range