ライフサイエンスコーパス: deconvolution

1 tification of perfusion by model-independent deconvolution).

2 raction estimates obtained from cell mixture deconvolution.

3 es that improve the accuracy of cell mixture deconvolution.

4 del, and 0.87 and 0.87 for model-independent deconvolution.

5 proves the accuracy and efficiency of sample deconvolution.

6 fication of small molecules by mass spectral deconvolution.

7 ftware that allows rapid and unbiased sample deconvolution.

8 es separation visualization and analyte peak deconvolution.

9 F were calculated by using Fermi-constrained deconvolution.

10 an methods commonly used in LINCS L1000 data deconvolution.

11 graphic peak model selection method for peak deconvolution.

12 , using dynamic programming for charge state deconvolution.

13 ions (PSF), a property critical for accurate deconvolution.

14 per minute) and at rest by model-independent deconvolution.

15 brane permeabilization, and complex spectral deconvolution.

16 es for quantification, feature detection and deconvolution.

17 ibrary of methylation markers being used for deconvolution.

18 we explore the effects of key parameters on deconvolution accuracy and compare against existing meth

19 reduces model parameterization and increases deconvolution accuracy by eliminating spurious solutions

20 ection is used to demonstrate the success of deconvolution achievable with a heterogeneous, irregular

21 Prior to deconvolution, ADAP-GC 2.0 takes raw mass spectral data

22 Here, we present a branching process deconvolution algorithm that learns a more accurate view

23 We also report a modified deconvolution algorithm that removes associated epifluor

24 We successfully developed and demonstrated a deconvolution algorithm to retrieve both spatially multi

25 dissociation were assigned using a Bayesian deconvolution algorithm together with mass defect analys

26 ion was also investigated using an iterative deconvolution algorithm.

27 den as determined by a custom-designed color deconvolution algorithm.

28 high resolution binding site identification (deconvolution) algorithm.

29 ional peak capacity of GC x GC, the spectral deconvolution algorithms applied to unskewed mass spectr

30 New mass spectral deconvolution algorithms have been developed for compreh

31 While a number of reference-based deconvolution algorithms have emerged, their potential r

32 Cell-type deconvolution algorithms have two main categories: refer

33 avelengths, making image restoration through deconvolution algorithms possible.

34 Standard deconvolution algorithms require prior knowledge of the

35 ate-of-the-art high-resolution ChIP-Seq peak deconvolution algorithms such as PICS, GPS, and GEM.

36 est the developed feature reconstruction and deconvolution algorithms.

37 e excluded from analyses during Boolean data deconvolution, allowing for precise sample assignment an

38 with the land C balance inferred from double deconvolution analyses of atmospheric CO2 and [Formula:

39 Cell-type deconvolution analysis attributed the differential metab

40 Leukocyte deconvolution analysis identifies changes in neutrophil,

41 In the field of biomedical research, deconvolution analysis is applied to obtain single cell-

42 We developed a computational approach, deconvolution analysis of RNAi screening data, for autom

43 idence time [MRT]) were obtained by means of deconvolution analysis of the concentration-versus-time

44 The gaussian deconvolution analysis was used to interpret observed ef

45 we performed paired patch-clamp recordings, deconvolution analysis, and numerical simulations of buf

46 For sample deconvolution analysis, DeMix outperformed IsoPure convi

47 s, with regional blood flow derived by using deconvolution analysis.

48 hods that yield the optimum linear space for deconvolution analysis.

49 lumination, followed by serial image section deconvolution and 3-D reconstruction.

50 algorithm is suitable for high charge state deconvolution and can distinguish shared peaks in coelut

51 in vitro data set and Approach II involving deconvolution and convolution steps.

52 using algorithms, such as second-derivative, deconvolution and curve fitting.

53 vestigate biological processes, although its deconvolution and fully understanding is still a challen

54 amic response functions derived through both deconvolution and gamma-variate fitting.

55 al data files by the Automated Mass Spectral Deconvolution and Identification System using settings d

56 t dyes, high-resolution confocal microscopy, deconvolution and image analysis with NeuronStudio.

57 , we established a standard protocol for the deconvolution and LC fitting of P K-edge XANES spectra.

58 present a protocol for automated metabolite deconvolution and quantification from complex NMR spectr

59 ilable to provide intraspectrum charge state deconvolution and quantitation, manual processing is sti

60 rived RGEPs are essential for the successful deconvolution and that RGEPs from peripheral blood are i

61 e of in-source fragmentation, the quality of deconvolution and the employed custom-made database, it

62 a plasma flow map was calculated by means of deconvolution and the model was fitted to six region-of-

63 e mount cochlear tissue, in conjunction with deconvolution and three-dimensional modeling, to analyze

64 esence of different components (via spectral deconvolution and time-resolved emission spectra).

65 r and compare the performance to manual peak deconvolution and to binning.

66 Structural measures were based on spherical deconvolution and tractography-derived indices of tract

67 our approach with methods based on ancestry deconvolution and use this method to analyze Masai sampl

68 itivity algorithm in gene expression profile deconvolution and will be useful in studying individual

69 Optical deconvolution and writhe calculation analysis indicate t

70 s insulin secretion (calculated by C-peptide deconvolution) and insulin infusion rates were used as i

71 nce of data normalization in gene expression deconvolution applications.Please see related Li et al c

72 lleagues introduced TIMER, a gene expression deconvolution approach for studying tumor-infiltrating l

73 Our deconvolution approach outperforms existing methods for

74 amework is combined with a novel constrained deconvolution approach that extracts estimates of neural

75 Tractography using a constrained spherical deconvolution approach to account for crossing fibers wa

76 This research extends a previous blind-deconvolution approach to develop a post-peak-calling al

77 tractography was performed using a spherical deconvolution approach.

78 Recent advances in cell-type deconvolution approaches are adding to our understanding

79 ed as a biomarker of cell types, and through deconvolution approaches, to infer underlying cell type

80 ully; and that accuracy requires further map-deconvolution approaches.

81 e known polypharmacology of drugs for target deconvolution are lacking.

82 n analysis method using wide-field data from deconvolution array tomography (ATD).

83 molecular level and a statistical population deconvolution at the sub-nanometer resolution, we reveal

84 g-based parameters and constrained spherical deconvolution-based connectivity analysis and by means o

85 Using the high-resolution deconvolution-based detection algorithm, we show that th

86 Furthermore, the deconvolution-based method has a high amplitude resoluti

87 Among all detection methods, the deconvolution-based method has a unique temporal resolut

88 blished methods using experimental data, the deconvolution-based method was superior for spontaneous

89 hout the need for structured illumination or deconvolution-based postprocessing.

90 of the DWI data using constrained spherical deconvolution-based tractography indicated that fraction

91 hromatography-mass spectrometry (GC-MS) peak deconvolution but tends to produce false positives and l

92 merical integration and comparable to manual deconvolution by experienced spectroscopists.

93 mprove a Bayesian approach to automated peak deconvolution by restricting the prior probability distr

94 rated the feasibility of improving cell type deconvolution by taking advantage of substructure in gen

95 Multiview deconvolution can substantially improve the resolution a

96 hod has a high amplitude resolution, because deconvolution can substantially increase the signal/nois

97 A biochemical deconvolution cascade suggested cytochrome c oxidase as

98 d flux estimates that are determined through deconvolution compare to estimates from a conventional G

99 o generate whole-brain constrained spherical deconvolution (CSD)-based tractography data and super-re

100 cell type-specific differential expression (deconvolution) detection on a gene-by-gene basis.

101 Subsequent target deconvolution efforts revealed that they all share low m

102 g three systems biology approaches: "Orbital-deconvolution" elucidated upstream, regulatory pathways

103 combination of SEC analysis and chromatogram deconvolution enables straightforward quantification of

104 DM determinations were obtained without peak deconvolution except for broccoli-derived samples.

105 Immune deconvolution, flow cytometry, and modular analysis sugg

106 is was analyzed by 4D live-cell and snapshot deconvolution fluorescence imaging.

107 as assessed by solid-phase binding assay and deconvolution fluorescence microscopy.

108 We then used rigorous theory-based deconvolution for a model-free extraction of the energy

109 hnology, including fluorophore-based optical deconvolution for automated scoring of affinity and cyan

110 as blood flow, were calculated by parametric deconvolution for each myocardial voxel.

111 deling for mediastinal lesions and iterative deconvolution for lung lesions were 99% +/- 1.5% and 99%

112 Importantly, this data deconvolution framework allows for structural heterogene

113 h the accumulation of metagenomic data, this deconvolution framework provides an essential tool for c

114 Using model-independent deconvolution, hyperemic myocardial blood flow was evalu

115 to address three challenges in computational deconvolution: (i) violation of linear addition of expre

116 Finally, "disease-deconvolution" identified associations between the paras

117 led by the optical memory effect that uses a deconvolution image processing and thus it does not requ

118 rt, as determined by electron microscopy and deconvolution immunofluorescence analysis.

119 We showed by using deconvolution immunofluorescence microscopy with an anMa

120 ombination of spectral ordering and compound deconvolution improved the quality of the data for quant

121 lar behavior is observed in real data, where deconvolution improves the relevance of results of downs

122 ry, examples being spectral deconvolution or deconvolution in microscopy.

123 ORM (deconSTORM), which uses iterative image deconvolution in place of single- or multiemitter locali

124 scans were corrected for PVE with iterative deconvolution incorporating wavelet denoising.

125 We show that AT with deconvolution increases the volumetric analytical fideli

126 LC deconvolution into constituent pieces is critical in gly

127 Deconvolution is a mathematical process of resolving an

128 subset of the barley genome confirm that the deconvolution is accurate and the BAC assemblies have go

129 Deconvolution is based on a chromatographic model peak a

130 standard protocol for reproducible spectrum deconvolution is lacking and minor modifications of the

131 s in imaging is limited, the solution of the deconvolution is required to be sparse, and desirable re

132 Reference-based deconvolution is typically applied to blood samples and

133 lated data for the rice genome show that the deconvolution is very accurate, and the resulting BAC as

134 theoretic tool, our results suggest network deconvolution is widely applicable for computing direct

135 After deconvolution, it aligns components across samples and e

136 This "reconstruction-deconvolution" logic provides templates of progenitor ce

137 lop MODS, with down-regulation of neutrophil deconvolution markers.

138 of bioinformatics tools to perform raw data deconvolution, metabolite putative assignment, peak list

139 ssing method, referred to as phased spectrum deconvolution method (PhiSDM), designed for Fourier tran

140 The presented deconvolution method allows CP degradation studies with

141 h most showed high specificity, we applied a deconvolution method based on graph theory to disentangl

142 -MS/MS workflow, acquisition, and isotopomer deconvolution method for MFA that takes advantage of add

143 t exponentially modified Gaussian-based peak deconvolution method for peak fitting.

144 The presented APCI-qTOF-HRMS pattern deconvolution method is an interesting alternative for C

145 demonstrates that the proposed DDPM spectrum deconvolution method outperforms the traditional method.

146 Our deconvolution method provides a means to quantify the he

147 We present a unique deconvolution method that combines an entropy-based regu

148 a dependent peak model (DDPM) based spectrum deconvolution method was developed for analysis of high

149 The mathematical deconvolution method was successfully applied to a therm

150 embedded tissue, and a 2D maximum likelihood deconvolution method, based on Bayes' rule, which signif

151 We develop a novel unsupervised deconvolution method, within a well-grounded mathematica

152 ta were analyzed with a to our knowledge new deconvolution method.

153 We used a novel cell mixture deconvolution methodology for examining the association

154 recorded using multiple instruments and for deconvolution methods of enhancing CFA depth resolution.

155 Unfortunately, most deconvolution methods perform very poorly at low signal-

156 blurring, which is not easily corrected (by deconvolution methods) due to the low signal-to-noise ra

157 of non-constrained reference-based cell-type deconvolution methods.

158 ults than the commonly used LINCS L1000 data deconvolution methods.

159 integrative quality measure for peak picking/deconvolution methods.

160 Super-resolution and deconvolution microscopy analyses were performed to defi

161 Protein interactions were examined by deconvolution microscopy and co-immunoprecipitation.

162 We used live-cell deconvolution microscopy of HeLa cells expressing chimer

163 ing multiple labeled, quantitative, spectral deconvolution microscopy.

164 Here, we present a deconvolution model that consists of two levels of data

165 nd rigid-registered phase 2 images, by using deconvolution modeling.

166 w tools have been developed for charge state deconvolution, monoisotopic/average molecular weight det

167 Fourier self-deconvolution, neural network (NN) and curve-fitting ana

168 Computational deconvolution of (1)H NMR spectra containing the compone

169 We validate the Deconvoluter resource by deconvolution of 17 of 17 phenotype-altering mutations f

170 reconstruction (FMLR) that performs spectral deconvolution of 1D-2D NMR spectra for the purpose of ac

171 that have limited capabilities for accurate deconvolution of a large number of compounds with divers

172 fied a Gaussian equation, which achieves the deconvolution of ATD peaks where the fwhm is fixed accor

173 Deconvolution of c-PAC spectra indicated that oligomers

174 Deconvolution of CD spectra before, during, and after fi

175 Second, this knowledge enables deconvolution of CNA patterns in complex genomic regions

176 bility to use VUV data analysis software for deconvolution of co-eluting signals.

177 detection of chromatographic peak features, deconvolution of coeluting compounds, and alignment of c

178 providing an approach to the dissection and deconvolution of combinatorial control.

179 ch naturally lends itself to the mechanistic deconvolution of diverse phenotypes.

180 Recent interest in reference-free deconvolution of DNA methylation data has led to several

181 Through deconvolution of facial forms, we identified quantitativ

182 This paper reports the first use of spectral deconvolution of full scan quadrupole GC x GC/MS data fo

183 Differences between SIE and spectral deconvolution of GC/MS data based on multiple fragmentat

184 d present a global analysis approach for the deconvolution of heterogeneous mixtures formed by weakly

185 formative blocks were further identified for deconvolution of heterogeneous samples.

186 ient pipeline: DeconRNASeq, an R package for deconvolution of heterogeneous tissues based on mRNA-Seq

187 We employ multi-muscle spatial sampling and deconvolution of high-density fiber electrical activity

188 IAL 2.0, a software tool for chromatographic deconvolution of high-resolution GC-MS or liquid chromat

189 for optimal virus-specific pools design and deconvolution of individual samples from sequenced pools

190 This approach allows the deconvolution of individual T3E activities.

191 tion could be overcome by using Fourier self-deconvolution of infrared spectra (FSD-IR).

192 The deconvolution of isoform expression from RNA-seq remains

193 tion method was developed that uses discrete deconvolution of mass distributions of identified peptid

194 Deconvolution of mass patterns allowed quantifying fract

195 that provides a rapid, robust, and flexible deconvolution of mass spectra and ion mobility-mass spec

196 ta2 adrenergic receptor, we demonstrate that deconvolution of membrane and protein binding contributi

197 ning of a combinatorial library, followed by deconvolution of membrane-permeable scaffolds to identif

198 ications, including de novo genome assembly, deconvolution of metagenomic samples and inference of ce

199 e, followed by an optimization procedure for deconvolution of multi-mapping reads.

200 Deconvolution of noisy signals is an important task in a

201 The algorithm enables real-time simultaneous deconvolution of O(105) traces of whole-brain larval zeb

202 ) guest, but it is broadly applicable to the deconvolution of other intricate host-guest equilibria.

203 ins being analyzed through mass accuracy and deconvolution of overlapping ion signals.

204 , along with the ability to use software for deconvolution of overlapping signals.

205 release, with the latter often estimated by deconvolution of pharmacokinetic data.

206 investigated the requirements for the unique deconvolution of PMDs into amino acid mass distributions

207 Deconvolution of PMDs of the storage protein beta-congly

208 cloud-based, data analysis pipeline for the deconvolution of pooled screening data.

209 ar stimulation of single parallel fibers and deconvolution of resulting EPSCs using quantal signals a

210 They also facilitate rapid deconvolution of signals from genome-wide screens.

211 Reflectance spectra analysis enables deconvolution of specific colorations by the unmixing me

212 nate (G) ratios were estimated from spectral deconvolution of the (13)C CP/MAS spectra and the result

213 Partial deconvolution of the (R)-selective mutant with generatio

214 midine dimer substrate, we report our direct deconvolution of the catalytic dynamics with three elect

215 markers by SPEF allows a more comprehensive deconvolution of the cellular signal in relation to mole

216 Here, we report an in operando quantitative deconvolution of the charge injected into the nanostruct

217 Deconvolution of the contributions of these various func

218 analytical protocol is proposed based on the deconvolution of the D(-)/H(-) and (16)OD(-)/(16)OH(-) i

219 Deconvolution of the data to near amino acid resolution

220 Deconvolution of the finite compliance effects on the me

221 ular compartment, digital image analysis and deconvolution of the fluorescence intensity data.

222 els of hidden neuronal variables obtained by deconvolution of the hemodynamic response.

223 After deconvolution of the highly charged ions, peaks were ann

224 The method is based on the deconvolution of the isotope patterns found in the sampl

225 lts were then used to add constraints on the deconvolution of the O1s envelope of the XPS spectra.

226 rocessing feat because it involves the rapid deconvolution of the relative change in the locations of

227 single common scaling factor, which enabled deconvolution of the relative contributions of zeaxanthi

228 Computational deconvolution of the RNA-seq data revealed that contribu

229 The algorithm is based on the complete deconvolution of the spectrum which makes it tolerant of

230 A major challenge is deconvolution of the statistical distribution of interme

231 mathematical method is presented that allows deconvolution of the strongly interfered measured isotop

232 ic measurements and subsequent computational deconvolution of the transient absorption spectra.

233 -dispersion LA cell were isolated via signal deconvolution of the transient mass analyzer response.

234 Deconvolution of the VNIS data indicates abundant high-C

235 sed on transcriptional profiling followed by deconvolution of their gene signatures.

236 Finally, we demonstrate real-time deconvolution of three different wavelength asynchronous

237 ally reduces the sequencing costs and allows deconvolution of viral populations with a high accuracy.

238 ease sensitivity, followed by computational "deconvolution" of cellular heterogeneity parameters (CHP

239 esolution (63x, 1.4 NA objective) imaging or deconvolution only where either proved necessary, in ord

240 nalytical chemistry, examples being spectral deconvolution or deconvolution in microscopy.

241 with a chemometric workflow or by an initial deconvolution or fitting step to generate a list of iden

242 ocal covariance (CMLC) and orthogonal signal deconvolution (OSD), (iii) alignment of mass spectra acr

243 an optimized library for whole blood mixture deconvolution, our work establishes a systematic and gen

244 , quantification of fluorescence, integrated deconvolution, parallel execution and multiple algorithm

245 For spectrum deconvolution, peak picking is achieved at the selected

246 or data analysis without integration or peak deconvolution (pixel-based analysis).

247 e directly formulate base-calling as a blind deconvolution problem and implemented BlindCall as an ef

248 set method to solve this sparse non-negative deconvolution problem.

249 cking and minor modifications of the applied deconvolution procedure can lead to considerable changes

250 A fast deconvolution process generates initial guesses, which a

251 This deconvolution process has been used to highlight the pre

252 S chromatograms, (ii) an innovative compound deconvolution process using multivariate analysis techni

253 We introduce a rapid deconvolution resource and method for untagged causative

254 Unconstrained deconvolution resulted in inferior AAMD and flux estimat

255 The highly accurate deconvolution results obtained suggest not only the exis

256 Pathway deconvolution revealed that the DMR of epinephrine is or

257 "Cluster-deconvolution" revealed visual protein-protein interacti

258 Using positional scanning deconvolution, selective high-affinity (low nM K(i)) ind

259 networks, such as Bayesian network, network deconvolution, silencing and modular response analysis m

260 s and assign them to the correct BAC clones (deconvolution) so that the assembly can be carried out c

261 his approach, we developed UniDec (Universal Deconvolution), software that provides a rapid, robust,

262 Thus, a deconvolution step is required to infer the expression v

263 esent a computational method, referred to as deconvolution-STORM (deconSTORM), which uses iterative i

264 listo are the ideal RNA-seq measurements for deconvolution studies.

265 Delay-corrected singular value deconvolution (SVD) with a delay time of more than 2 sec

266 hen inferred from the reaction rates using a deconvolution technique, proteolytic activity matrix ana

267 enumbra and infarct prediction among various deconvolution techniques and highlights the need for sta

268 ermed Arpeggio profiles, we applied harmonic deconvolution techniques to the autocorrelation profiles

269 ew derivatization and a two dimensional peak deconvolution techniques.

270 ent a Bayesian-based derivation of multiview deconvolution that drastically improves the convergence

271 e propose a simple method for reference-free deconvolution that provides both proportions of putative

272 Centered on the deconvolution, the entire data analysis workflow is full

273 o existing libraries for whole blood mixture deconvolution, the optimized IDOL library identified her

274 A time interval deconvolution (TID) method was devised to integrate a ga

275 n-neoplastic brain tissue with computational deconvolution to assess cell-type-specific translational

276 btype and performed cell-type reference-free deconvolution to control for cellular heterogeneity.

277 hus we proposed a new method using numerical deconvolution to evaluate actual drug release kinetics o

278 ta are presented-one using Fourier transform deconvolution to extract resonance components from inter

279 tion separation is achieved using fractogram deconvolution to fully resolve overlapping peaks.

280 aining high-quality reconstructions requires deconvolution to remove optical aberrations.

281 We finally apply metagenomic deconvolution to samples from the Human Microbiome Proje

282 ently introduced procedures for fluorescence deconvolution tomography in a well-studied rat model of

283 Fluorescence deconvolution tomography was used to test whether synapt

284 tures - Compartment Modeling (CAM-CM) signal deconvolution tool has been developed to automatically i

285 We implement an R package, UNsupervised DecOnvolution (UNDO), that can be used to automatically

286 Target deconvolution using our ensemble approach has the potent

287 Our procedure is based on deconvolution, using a point spread function modeled fro

288 for detecting spontaneous synaptic events by deconvolution, using a template that approximates the av

289 om bulk gene expression data by mathematical deconvolution, using indication-specific and cell type-s

290 hy-based approach with constrained spherical deconvolution was performed.

291 M pectin with high added protein (30%), peak deconvolution was vital.

292 Using automated dilation deconvolution, we isolated and tracked the dynamics of a

293 ntified using a combination of synthesis and deconvolution which can, in principle, be applied to any

294 determinations were obtained without spectra deconvolution whilst for medium to high DM pectin with h

295 Complete deconvolution with formation of all combinatorial forms

296 Deconvolution with parallel factor analysis (PARAFAC) re

297 ting's stratigraphy by exploiting the sparse deconvolution, without which terahertz reflectometry in

298 ak areas across all samples even where AMDIS deconvolution would leave missing values.

299 action of complex stability constants during deconvolution yielding log(beta1M,1 degrees C)1:1 = -4.6

300 views by means of high-throughput multiview deconvolution yields images with high resolution in all