ライフサイエンスコーパス: graphical

1 to one of two A&F groups: (1) individualised graphical A&F comprising a line graph plotting an indivi

2 tor comprising the addition of a line to the graphical A&F plotting the monthly antibiotic prescribin

3 16; dentists = 1,001); or (2) individualised graphical A&F plus a written behaviour change message sy

4 questions, in addition to those shown in the Graphical Abstract, remain regarding the resulting contr

5 This graphical algebra allows us to explicitly compute the su

6 MEAGA performs enrichment analysis using graphical algorithms to identify sub-graphs among genes

7 Plasma-input-based Logan graphical analysis and spectral analysis were used to ge

8 a novel application, Kramer et al. have used graphical analysis and statistical models to estimate th

9 nce tissue model (SRTM) and SRTM2; the Logan graphical analysis distribution volume ratio (DVR) was c

10 Patlak graphical analysis gave metabolic rates (Ki, the irrever

11 volume ratio (DVR) determined by Logan plot graphical analysis in volumes of interest placed over th

12 addition to the designs generated, detailed graphical analysis is presented through an integrated an

13 Herein, we present a simple graphical analysis method that takes advantage of the da

14 structures as a diagnostic tool and enables graphical analysis of SAR redundancy and project progres

15 he relative viscosity of fluids via a simple graphical analysis of the normalised position autocorrel

16 Through a graphical analysis of the signs of the experimental C-te

17 odeling (1- and 2-tissue configurations) and graphical analysis techniques (Logan and multilinear ana

18 A graphical analysis to elucidate the order in catalyst is

19 V(T) estimated by both graphical analysis using Logan plots and full nonlinear

20 We used 1-tissue-compartment graphical analysis with 6 linearized solutions of the fu

21 Logan graphical analysis with arterial input function gave a V

22 Kinetic modeling was performed using Logan graphical analysis with the cerebellum crus as a referen

23 plified reference tissue model and the Logan graphical analysis, using the cerebellum as a reference

24 parametric maps was also investigated using graphical analysis.

25 simplified reference tissue model, and Logan graphical analysis.

26 on volume, estimated with the invasive Logan graphical analysis.

27 ling (1TCM and 2TCM, respectively) and Logan graphical analysis.

28 le binding potentials (BPND) using the Logan graphical analysis; flow-sensitive alternating inversion

29 We develop graphical and analytic methods for assessing these scena

30 ion, the new features are available via both graphical and command line interface.

31 ts can be displayed in multiple interactive, graphical and downloadable formats.

32 Graphical and joinpoint regression analyses were used to

33 Our graphical and likelihood analyses produced broadly consi

34 Here, we fill this gap with a simple graphical and mathematical framework to study disease to

35 l increase in data and additions to existing graphical and statistical survival analysis features, Su

36 ment analysis tool is now accessible through graphical and web service interface.

37 mples from mothers and their neonates with a graphical approach developed for the visualization of hi

38 We introduce pong, a network-graphical approach for analyzing and visualizing members

39 The Patlak graphical approach was used to quantify the BBB leakage

40 We developed graphical approaches to construct an extensible immune r

41 upport new tools for NMR peak simulation and graphical assignment determination.

42 MMing's new lessons functionality, web-based graphical capabilities have been overhauled and are full

43 ogram for soybean breeding, which includes a graphical chromosome visualizer for ease of navigation.

44 ed at least once during the study period and graphical density ranged from 16.2% to 24.8%.

45 Graphical diagnostics allow the user to examine the qual

46 Utilizing a multidimensional graphical display featuring two plots and four axes, Gui

47 proteins, CellWhere produces an interactive graphical display that mimics the structure of a cell, s

48 JavaScript library is used in producing the graphical display.

49 ch biological replicate, and the outputs are graphical displays depicting statistical confidence metr

50 viewing pre-curated cancer pathways, or as a graphical editor for creating new pathways, with the abi

51 Graphical exploration of relationships between predicted

52 ool (Synima) written in Perl, which uses the graphical features of R.

53 s and the display of results in a variety of graphical formats.

54 anu provides graph-based assembly outputs in graphical fragment assembly (GFA) format for analysis or

55 troduce a pairwise read mapping format and a graphical fragment assembly format, and demonstrate the

56 of posterior inference, model comparison and graphical illustration of model fitting.

57 TarPred accepts interactive graphical input or input in the chemical file format of

58 ons for MATLAB equipped with a user-friendly graphical interface and designed for processing two-dime

59 ith statistical analyses of the model with a graphical interface and model visualisation.

60 aCoMET provides an efficient and interactive graphical interface for analyzing each subset defined by

61 ed bioinformatics tool suite that includes a graphical interface for data queries and downloads, alig

62 Here, we present InteractiveROSETTA, a graphical interface for the PyRosetta framework that pre

63 tation engine within the R environment and a graphical interface for users who do not have programmin

64 The underlying program and graphical interface have been experimentally tested in o

65 ble as an R package along with user-friendly graphical interface implementations which allows users t

66 ng algorithms, but NucliTrack's interactive, graphical interface makes it significantly more user fri

67 n application programming interface (API), a graphical interface or contain features that make it ext

68 PathAct implements an advanced graphical interface that provides a unique interactive w

69 It also provides a useful graphical interface to analyze the integration sites fou

70 We use Chimera as an interactive graphical interface to control MMB.

71 NetworkPainter provides researchers a graphical interface to draw and "paint" pathway diagrams

72 Foldit Standalone is an interactive graphical interface to the Rosetta molecular modeling pa

73 TRANSIT provides a graphical interface to three different statistical metho

74 The graphical interface we developed will enable researchers

75 a obtained from multiple phased genomes in a graphical interface with access to multiple-track operat

76 nt guide RNA scoring functions in one simple graphical interface.

77 g can also be performed with a user-friendly graphical interface.

78 ect users with computational resources and a graphical interface.

79 y to easily create complex workflows using a graphical interface.

80 MapDisto; (v) QTL detection via a new R/qtl graphical interface.

81 NVIDIA GPU-equipped servers through a WebGL graphical interface.

82 dle by current genetic mapping software with graphical interface.

83 NA++ is parallelized and has a user-friendly graphical interface.

84 ncreasingly rely on applications that lack a graphical interface.

85 for comprehensive data mining via intuitive graphical interfaces and APIs.

86 ellar development in a deep time series with graphical interfaces for data exploration and link-out t

87 Some graphical interfaces for Rosetta exist, but typically ar

88 he NCI Cancer Genomics Cloud, which provides graphical interfaces for running and editing, infrastruc

89 nsive improvements in hardware, software and graphical interfaces.

90 We report Dizzy-Beats, a graphical Java Bayesian evidence analysis tool implement

91 We propose a novel differentially weighted graphical LASSO (dwgLASSO) algorithm that builds group-s

92 This article presents a group graphical lasso (GGL) method for contact prediction that

93 In this paper, we apply weighted graphical LASSO (wgLASSO) algorithm to integrate a data-

94 ata-driven models (e.g., neighbor selection, graphical LASSO), even when only a moderate level of inf

95 The graphical least absolute shrinkage and selection operato

96 In the first, we describe how graphical, longitudinal, and hierarchical models can inf

97 g optical (fluorescent and non-fluorescent), graphical, magnetic, and phase change properties of nano

98 t presents the resulting reduced family in a graphical manner that makes it clear if family members h

99 relevant results were shown in an intuitive graphical manner, and can be freely downloaded from this

100 To gauge the generality of graphical map formation in the brain, we investigated th

101 equences while providing the user with both, graphical maps of primer distribution for each inputted

102 imerMapper also enables the visualization of graphical maps within a browser and allows the user to d

103 A simple and clinically applicable graphical method of predicting an individual patient's s

104 Plots from Logan and MA1 graphical methods became linear by 30 min, yielding regi

105 , several attempts have been made to develop graphical methods for the analysis of structure-activity

106 uted to this understanding and to developing graphical methods, or plots, to illustrate the capabilit

107 Gaussian graphical model (GGM), a probability model that characte

108 ribe a new method called Latent Differential Graphical Model (LDGM).

109 ly sound procedure for constructing Gaussian graphical model and making inference with high-dimension

110 LDGM consistently outperforms other Gaussian graphical model based methods.

111 Our multi-omics graphical model demonstrates the interconnectivity of ag

112 We propose a simple graphical model for informing individual health decision

113 loped for compositional data analysis with a graphical model inference framework that assumes the und

114 k of Nested Effects Models (NEMs), a type of graphical model specifically tailored to analyze high-di

115 In this work, we report a multi-layer graphical model that is capable of leveraging many publi

116 , we introduce a covariate-adjusted Gaussian graphical model to estimate the Markov equivalence class

117 ior approaches TASIC uses on a probabilistic graphical model to integrate expression and time informa

118 lapping MPRA constructs with a probabilistic graphical model to recognize functional regulatory nucle

119 d reference tissue model and the multilinear graphical model were robust and in good agreement.

120 We propose a fragment-free probabilistic graphical model, FUSION, for conformational sampling in

121 nding and DNA methylation in a probabilistic graphical model, we demonstrate that previously reported

122 Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied

123 We propose a novel, graphical model-based peak calling method, MeTPeak, for

124 taken from the same patient, using a dynamic graphical model.

125 ied reference tissue model and a multilinear graphical model.

126 Gaussian Graphical Models (GGMs) were used to identify correlated

127 y employing Laplacian of Gaussian filter and graphical models (i.e., Hidden Markov Model, Fully Conne

128 Mixed graphical models (MGMs) are graphical models learned ove

129 t of related protein families using Gaussian graphical models and then coestimate their parameters by

130 Graphical models are often employed to interpret pattern

131 Sparse Gaussian graphical models are popular for inferring biological ne

132 Gaussian graphical models are used to construct association netwo

133 Graphical models have been used to estimate GRN from gen

134 Mixed graphical models (MGMs) are graphical models learned over a combination of continuou

135 ference approach to the learning of Gaussian graphical models of gene regulatory networks, that enabl

136 cells in various tissues of the rat, whereas graphical models provide a global measure of uptake.

137 We applied probabilistic graphical models representing complex biologic systems a

138 To address the issue that deep probabilistic graphical models requires large number of labeled traini

139 Of the 2 graphical models tested, the Patlak plot provided adequa

140 Markov networks are undirected graphical models that are widely used to infer relations

141 Markov networks are a class of graphical models that define connections, or edges, betw

142 varying network structure, and use Gaussian graphical models to represent the network structures.

143 Graphical models were assessed qualitatively.

144 combination of the strength of probabilistic graphical models, feature space embedding and deep learn

145 ndom fields (CRFs), a class of probabilistic graphical models, for robust prediction of these constru

146 Using probabilistic graphical models, SMARTS iterates between reconstructing

147 we review its underlying concepts, including graphical models, sufficient statistics, and message-pas

148 inference algorithm, based on probabilistic graphical models, to integrate expression with auxiliary

149 of FuseNet in comparison to several popular graphical models.

150 omatic mutation data, a novel application of graphical models.

151 iven combinatorial problem is encoded into a graphical, modular network that is embedded in a nanofab

152 The graphical network includes 10 modules with specialized/e

153 ional analysis of topological, community and graphical network parameters of the human interactome an

154 is more meaningful to estimate the directed graphical network.

155 A standard, named the Systems Biology Graphical Notation (SBGN), was recently introduced to al

156 IPSA2 achieved similar results as graphical optimization, and none of the other IPSA plans

157 her IPSA plans was significantly better than graphical optimization.

158 Summary statistics are also provided in graphical or text format.

159 n reported in field populations of different graphical origin.

160 fy geometric properties, and create a useful graphical output of cell coordinates for further analysi

161 NanoOK generates detailed tabular and graphical output plus an in-depth multi-page PDF report

162 a new version of MCAST that offers improved graphical output, a dynamic background model, statistica

163 he website provides five analytical methods, graphical output, statistical support and access to an i

164 evel of the hierarchy the Dashboard contains graphical panels depicting systems such as biosynthesis,

165 Synima has a range of graphical parameters including size, colours, order, and

166 ances, maximizes data density without losing graphical perception.

167 AlmostSignificant is a graphical platform to streamline the QC of DNA sequencin

168 in the aligned structures of protein chains, graphical presentation of differences in secondary struc

169 ution for the analysis and publication-grade graphical presentation of dithionite scramblase assays a

170 atistical analysis of binding parameters and graphical presentation of the results.

171 H changes were compared with statistical and graphical presentations appropriate to non-normally dist

172 t a positively framed risk-benefit tool with graphical presentations of general and patient-specific

173 The algorithm was implemented in a graphical processing unit (GPU).

174 Here we present a graphical processing unit implementation of ReaDDy that

175 n Monte Carlo implemented on general-purpose graphical processing units (or GPGPUs) we estimated that

176 to timescales of multiple seconds on single graphical processing units.

177 We used graphical random forests to assess conditional dependenc

178 Graphical reference region analyses demonstrated that N-

179 were estimated with the use of bivariate and graphical regression methods.

180 size ranges and a lightweight, interactive, graphical report to visualize validation results with de

181 low for i) up-to-the-minute 'scoreboard' and graphical reporting of collections; ii) end user roles a

182 Hunter provides information-rich tabular and graphical reports allowing to trace back key identificat

183 eloped two new vocabularies that capture the graphical representation and the pathway logic, respecti

184 one relationship between sequences and their graphical representation and visualizes covariant sites.

185 Chain event graphs (CEGs) are a graphical representation of a statistical model derived

186 ng is fluid, providing instant access to the graphical representation of integrated processes and to

187 Graphical representation of metagenomic count data relie

188 s a comprehensive visualization tool for the graphical representation of protein sequence features in

189 e MIRNAs from different species generating a graphical representation of the conservation of the prim

190 A graphical representation of the heterospecies partition

191 cused on relevant end points and construct a graphical representation of the identified mechanistic i

192 nisms and across taxonomical clades, through graphical representation or through commonly used indice

193 We introduce a graphical representation that offers a convenient platfo

194 imating two-dimensional (2D) coordinates for graphical representation, although alternative and highe

195 scaling (MDS) as an alternative to PCoA for graphical representation.

196 Tabular and graphical representations facilitate the downstream biol

197 c coordinates as input and generates various graphical representations for visualization and further

198 putational Tool (NPACT), which highlights in graphical representations inconsistencies between newly

199 Graphical representations of contrasts in GC usage among

200 We designed analytical strategies and graphical representations of platform performance, inclu

201 The interface presents intuitive graphical representations of splicing patterns, read cou

202 t has a user-friendly interface and produces graphical representations of the hairpin structure and p

203 cords the complete user input and subsequent graphical results of a user's session, allowing the user

204 wiring p-values and to provide user-friendly graphical results.

205 introduce a modeling tool that combines new graphical rule-based model specification with existing s

206 erms of k-mers, position weight matrices and graphical sequence logos.

207 available tutorial to bridge the gap between graphical simulation setup and the technical knowledge n

208 s within these videos are then analyzed by a graphical software to obtain diameters of every gas bubb

209 Cell (VCell) modeling framework, permitting graphical specification of rules and merger of networks

210 A graphical stability analysis method was employed to dete

211 tic Biology Open Language (SBOL) Visual is a graphical standard for genetic engineering.

212 ormance on estimating the undirected network graphical structure by incorporating genetic markers as

213 Recent enhancements to MGD include new graphical summaries of biological annotations for mouse

214 The decision curve is a graphical summary recently proposed for assessing the po

215 back on the proposed design and generating a graphical summary that aids communication with colleague

216 ularity, this database needs statistical and graphical support to meet its full potential.

217 oups within the Venn diagram, and includes a graphical taxonomy summary, alpha diversity metrics, Pri

218 T-RECs, a Windows based graphical tool, employs pairwise alignment of sliding wi

219 cted acyclic graphs (DAGs) are nonparametric graphical tools used to depict causal relations in the e

220 gorithms are also presented, with a range of graphical tools, which facilitate these analyses.

221 le for vertebrate genome with a focus on new graphical tools.

222 nsive processing interactively via dedicated graphical user interface (GUI) applications.

223 ty) toolbox is developed in MATLAB and has a graphical user interface (GUI) for visualization and use

224 The QUADrATiC Graphical User Interface (GUI) has been developed using

225 Using the Shiny framework, an accompanying graphical user interface (GUI) is also included for the

226 A graphical user interface (GUI) is available for novice u

227 A novel software with a graphical user interface (GUI) programmed in Matlab allo

228 rams (GREML_CE, GREML_QM, and GCORRMX) and a graphical user interface (GUI) that integrates the three

229 e with a command line interface as well as a graphical user interface (GUI) through wrappers for the

230 The MESMER suite includes a powerful graphical user interface (GUI) to streamline usage of th

231 TSCAN has a graphical user interface (GUI) to support data visualiza

232 The graphical user interface (GUI) version of MOSFLM (called

233 the results, and it provides a user-friendly graphical user interface (GUI) with tree visualization.

234 GSCA has a graphical user interface (GUI).

235 tabolic pathways, and described the use of a graphical user interface (GUI).

236 The new infrastructure includes a new graphical user interface (www.ebi.ac.uk/gwas/), ontology

237 A graphical user interface allows for simple designation o

238 It provides an intuitive graphical user interface and a documented application pr

239 Using GUIDE (graphical user interface design environment) in MATLAB,

240 An easy to use graphical user interface enables researchers to quickly

241 he model, the computational software and the graphical user interface for accessing the model.

242 eraction is mediated through a collaborative graphical user interface for building and evaluating dec

243 mprovements for our assay, and provide a new graphical user interface for data analysis to make the t

244 re efficiently; (iii) it provides a friendly graphical user interface for easy use by domain (e.g. bi

245 d is available as open-source and includes a Graphical User Interface for user friendly execution.

246 malies and (ii) an interactive method with a graphical user interface implemented into an R shiny app

247 k, few open-source software solutions with a graphical user interface implementing these calculations

248 The graphical user interface provides visualization of multi

249 We also present a graphical user interface that allows a user to select ea

250 ProStaR is a graphical user interface that allows friendly access to

251 PrimerMapper, which provides a comprehensive graphical user interface that designs robust primers fro

252 ovide VCFtoTree, a user friendly tool with a graphical user interface that directly accesses online d

253 d data analysis, all through a user-friendly graphical user interface that should make it more access

254 Slicer capabilities, SEEG Assistant offers a Graphical User Interface that simplifies the interaction

255 RouteSearch includes a graphical user interface that speeds user understanding

256 the xGDBvm software, which uses an intuitive graphical user interface to access a number of common ge

257 advance the reader to the point of writing a graphical user interface to compute the Hamming distance

258 A plugin for the VMD program provides a graphical user interface to facilitate input creation, r

259 d with 900 images by using a custom-designed graphical user interface to perform a task created speci

260 vailable as both a command line and a Galaxy graphical user interface tool.

261 nto a bioinformatics work flow, as well as a graphical user interface which concurrently displays the

262 chers to identify transposable elements in a graphical user interface with ready-to-use workflows.

263 oller in conjunction with a readily modified graphical user interface written in the open-source proc

264 MT-Toolbox includes a graphical user interface, command line interface, and op

265 toolbox, available as command-line or with a graphical user interface, enables biologists to assess c

266 Single-Cell Regulome Analysis Toolbox with a graphical user interface, for studying cell heterogeneit

267 Equipped with a graphical user interface, GENFIRE is freely available fr

268 program is written in MATLAB and includes a graphical user interface, making it simple to integrate

269 of its ease to install, minimal parameters, graphical user interface, multithreading capability, ret

270 Key features include a graphical user interface, validation of uploaded GenBank

271 The graphical user interface, which includes interactive mod

272 Lab Retriever adds a graphical user interface, written primarily in JavaScrip

273 either command-line tools or a user-friendly Graphical User Interface.

274 rial genomes, that comes with an easy-to-use graphical user interface.

275 engine and to interactively explore it in a graphical user interface.

276 COCONUT is freely available and provides a graphical user interface.

277 Mac and Windows systems and also provides a graphical user interface.

278 i can be controlled through a custom-written graphical user interface.

279 ll features are integrated in an easy-to-use graphical user interface.

280 lopodia reconstructions through an intuitive graphical user interface.

281 Virtual components, such as graphical user interfaces (GUIs) of equipment, are handl

282 ent genome browsers are designed to work via graphical user interfaces (GUIs), which, however intuiti

283 lab implementation of Wigwams, complete with graphical user interfaces and documentation, is availabl

284 rm packing experiments through scripting and graphical user interfaces at http://cellPACK.org/.

285 It provides user-friendly graphical user interfaces for accurately segmenting and

286 network analysis and a series of interactive graphical user interfaces.

287 y, including platforms with command line and graphical user interfaces.

288 A public-access graphical-user-interface has been constructed to facilit

289 hy that can then be viewed using an integral graphical viewer or animated through a high-level applic

290 in programs with an existing program for the graphical viewing of SNP additive and dominance effects

291 rated with an existing software tool for the graphical viewing of SNP effects and a function for edit

292 We provide an R script for graphical visualization and statistical analysis.

293 e symmetry transformation via an interactive graphical visualization environment in any modern web br

294 automation of data conversion, analysis and graphical visualization for biological inference.

295 Graphical visualization of on-target and off-target site

296 and quantification scheme, but also includes graphical visualization that facilitates the discovery o

297 The package also provides a graphical visualization tool, based on the union of two

298 riage of spiral computed tomography (CT) and graphical volumetric image processing, CT angiography wa

299 Pathview Web features an intuitive graphical web interface and a user centered design.

300 Here, we present spongeScan, a graphical web tool to compute and visualize putative MRE