ライフサイエンスコーパス: deconvolution

1 logenies and avoided the limitations of bulk deconvolution.

2 of distinct substrates and emission spectra deconvolution.

3 ystematically employed to facilitate spectra deconvolution.

4 ion between profiles, we apply computational deconvolution.

5 an methods commonly used in LINCS L1000 data deconvolution.

6 , using dynamic programming for charge state deconvolution.

7 es for quantification, feature detection and deconvolution.

8 ibrary of methylation markers being used for deconvolution.

9 rescence microscopy is that of computational deconvolution.

10 the remote zones was quantified using Fermi deconvolution.

11 perform parameter optimization for effective deconvolution.

12 eveloped intracranial encephalography (iEEG) deconvolution.

13 olutionary analyses that relate to subclonal deconvolution.

14 le preparation and does not require spectral deconvolution.

15 deliver quantitative measurements with data deconvolution.

16 fficient, and consistent protein MS spectral deconvolution across multiple instrument and detector pl

17 cleaved hydrolytically, with the output of a deconvolution algorithm (DECON-Routine) designed to iden

18 n, we describe the utility of a parsimonious deconvolution algorithm (explaining the observed spectra

19 Here, we present a novel Bayesian-based peak deconvolution algorithm that gives unbiased likelihood e

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

21 Here, we apply a cell-type deconvolution algorithm to identify cell-type specific D

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

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

24 en high-resolution mass analyzers and modern deconvolution algorithms are used.

25 Recent studies have shown that deconvolution algorithms can be applied to computational

26 ing of disease mechanisms, the existing peak deconvolution algorithms cannot recover the accurate exp

27 resource enables quantitative assessment of deconvolution algorithms for brain tissue.

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

29 Multiple deconvolution algorithms have evolved over the past two

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

31 Pathway analysis and immune deconvolution algorithms identified higher B-cell conten

32 We apply existing deconvolution algorithms to brain tissue by using marker

33 issue Expression project, we apply cell-type deconvolution algorithms to evaluate the immune landscap

34 Although there are multiple deconvolution algorithms, there is no consensus for how

35 est the developed feature reconstruction and deconvolution algorithms.

36 lpha-band modulation with massive univariate deconvolution, an analysis approach that disentangles br

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

38 Cell-type deconvolution analysis attributed the differential metab

39 k aims to minimize any bias from the peptide deconvolution analysis by implementing a non-negative li

40 Leukocyte deconvolution analysis identifies changes in neutrophil,

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

42 Further deconvolution analysis reveals significantly lower infil

43 We performed target deconvolution analysis using a selection of 29 T. brucei

44 For sample deconvolution analysis, DeMix outperformed IsoPure convi

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

46 cing (RNA-seq) of the myocardium and genetic deconvolution analysis.

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

48 e exRNA Atlas resource, we provide tools for deconvolution and analysis of user-provided case-control

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

50 with optical microscopes can be improved by deconvolution and computational fusion of multiple views

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

52 t peak using both platforms that facilitated deconvolution and further analysis.

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

54 nfirm its robust performance in isotopologue deconvolution and moiety model selection.

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

56 model peak-based and the MCR-based spectral deconvolution and report ADAP-GC 4.0 that employs the la

57 integrated framework which performs de novo deconvolution and single-sample compartment weight estim

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

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

60 luated multiplexing capabilities by spectral deconvolution and undertook a proof-of-concept applicati

61 e data, including peak detection (features), deconvolution, and comprehensive accompanying manual rev

62 es of 13 immune cell types using statistical deconvolution, and investigated the association of these

63 onsensus for how to judge the quality of the deconvolution, and many scoring schemes are not publishe

64 the process of phenotypic screening, target deconvolution, and structure-activity relationship (SAR)

65 >6000 primarily pediatric CNS tumors using a deconvolution approach (methylCIBERSORT).

66 A genetic deconvolution approach built on deep RNA-seq and single-

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

68 Our deconvolution approach outperforms existing methods for

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

70 We lastly adapt a previously generated RNA deconvolution approach to single-cell expression data to

71 real data, we identify conditions in which a deconvolution approach would be beneficial.

72 n open source R package built around our new deconvolution approach, which provides several functions

73 a substantial technical advance over partial deconvolution approaches and will be useful for studying

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

75 Existing deconvolution approaches can be divided into two major g

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

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

78 ication or unique molecular identifier (UMI) deconvolution are necessary for preprocessing of data fr

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

80 means of judging the quality of the overall deconvolution as well as individual mass peaks, the UniS

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

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

83 We implement an R package, deconvolution by Convex Analysis of Mixtures (debCAM) th

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

85 also show that using NMF for tumour content deconvolution can achieve results similar to existing me

86 A biochemical deconvolution cascade suggested cytochrome c oxidase as

87 al step in preprocessing such data, spectral deconvolution computationally separates ions that are in

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

89 Non-negative least-squares deconvolution enabled the reading of an unprecedented nu

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

91 Single-marker and polygenic cell deconvolution establish that this relationship is spatia

92 low-rank formulation of blind multi-channel deconvolution, explaining why it inherently promotes low

93 hod to recover rapid nonstepwise kinetics by deconvolution fits.

94 Immune deconvolution, flow cytometry, and modular analysis sugg

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

96 Multicell Analytical Deconvolution for High Yield Paired-chain Evaluation (MA

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

98 Importantly, this data deconvolution framework allows for structural heterogene

99 ent the mobster package for tumour subclonal deconvolution from bulk sequencing, the first approach t

100 re, we develop an enhanced method for strain deconvolution from genome sequencing data, which estimat

101 model-based approach to carry out subclonal deconvolution from the site frequency spectrum of somati

102 Traditionally, spectral deconvolution has been achieved by using a model peak ap

103 These analyses and leukocyte deconvolution highlighted neutrophil-mediated immunity.

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

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

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

107 larger molecules and enabling the use of ESI deconvolution in automated data analysis pipelines.

108 the first to address the problem of barcode deconvolution in metagenomics.

109 Target deconvolution in P. falciparum has shown that cladospori

110 l for mass spectroscopy isotopologue profile deconvolution involving single and multiple isotope trac

111 Deconvolution is a mathematical process of resolving an

112 of top-down mass spectrometry data, spectral deconvolution is an indispensable step in spectral data

113 intuitive universal score (UniScore) for ESI deconvolution is presented.

114 ed by ESI-MS is simple; however, algorithmic deconvolution is required for more complex protein mixtu

115 inverse filtering in Fourier transform-based deconvolution is stabilized and automated by optimizing

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

117 Gene-expression deconvolution is used to quantify different types of cel

118 It allows for high-sensitivity spectral deconvolution, leading to less false-positive identifica

119 3D point spread function, we show here that deconvolution leads to similar improvements in volume da

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

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

122 (LA) ICPMS, combined with an isotope pattern deconvolution mathematical tool are proposed for a bette

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

124 The presented deconvolution method allows CP degradation studies with

125 ring the selection of the appropriate clonal deconvolution method critical.

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

127 Thus, it is imperative to develop a robust deconvolution method that automatically decontaminates d

128 We develop a fully unsupervised deconvolution method to dissect complex tissues into mol

129 Here, we propose a deconvolution method to identify the sources and process

130 We applied the deconvolution method to the case of the Kabini Critical

131 we propose PREDE, a partial reference-based deconvolution method using an iterative non-negative mat

132 The mathematical deconvolution method was successfully applied to a therm

133 We introduce a novel complete deconvolution method, CDSeq, that uses only RNA-Seq data

134 We present a computational deconvolution method, deconvSeq, for sequencing data (RN

135 In this paper, we propose a semi-supervised deconvolution method, semi-CAM, that extends CAM by util

136 We propose dtangle, a new cell type deconvolution method.

137 From a bulk biopsy, subclonal deconvolution methods are used to determine the composit

138 NA methylomes are highly cell type specific, deconvolution methods can be used to recover cell type-s

139 We show that a class of deconvolution methods developed to separate tumor and st

140 Although such partial deconvolution methods have been successfully applied to

141 r methods; it also outperforms most existing deconvolution methods in regular cell type profiling acc

142 pre-processing steps are achieved, the three deconvolution methods provide comparable results.

143 The performance of spectral deconvolution methods relies heavily on their scoring fu

144 Reference-free deconvolution methods retrieve these components without

145 can otherwise only be estimated by applying deconvolution methods to bulk RNA-Seq estimates.

146 Supervised deconvolution methods use cell type-specific prior infor

147 ation process similar to the classical image deconvolution methods, except that it is performed on SM

148 g that dtangle is competitive with published deconvolution methods, is robust to outliers and selecti

149 ion performance with seven other established deconvolution methods.

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

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

152 integrative quality measure for peak picking/deconvolution methods.

153 igenetics data relies on the "reference-free deconvolution" methods to estimate cell composition.

154 sors, when combined with superresolution and deconvolution microscopic techniques, enable the first m

155 uantum dots and calibrated three-dimensional deconvolution microscopy (QDC-3DM) to reveal physiologic

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

157 Retaining the single-shot imaging speed of deconvolution microscopy while gaining access to missing

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

159 rization-based Immune-TUmor MIcroenvironment Deconvolution (NITUMID) framework for TME profiling that

160 Herein we report a conformational deconvolution NMR methodology that combines residual dip

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

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

163 ction of daily drug-taking behavior based on deconvolution of a complex longitudinal profile in hair.

164 ifying the causes of human diseases requires deconvolution of abnormal molecular phenotypes spanning

165 process in cancer to reduce ambiguity in the deconvolution of admixed sequencing data into multiple h

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

167 lly, we develop two demonstrations where the deconvolution of barcoded reads improves downstream resu

168 s and demonstrate the potential of in silico deconvolution of bulk tissue to identify cell-type-restr

169 Deconvolution of bulk transcriptomics data from mixed ce

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

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

172 high-resolution enhancer boundaries enables deconvolution of complex regulatory loci into modular un

173 MSHub/GNPS performs auto-deconvolution of compound fragmentation patterns via uns

174 Deconvolution of CSTET data collected from the periphery

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

176 be a three-stage protocol for reference-free deconvolution of DNA methylation data comprising: (i) da

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

178 ved quality estimation, real-time fusion and deconvolution of dual-illumination, multitile, multiview

179 eed for improved data analysis pipelines for deconvolution of electrospray (ESI) mass spectra contain

180 nge surrounding this approach stems from the deconvolution of experimental CD spectra into secondary

181 a new machine learning tool, Fast And Robust DEconvolution of Expression Profiles (FARDEEP), to enume

182 Through deconvolution of facial forms, we identified quantitativ

183 mpared with a sensory evaluation, for better deconvolution of food state during cooking.

184 ine learning approach, MSHub, to enable auto-deconvolution of gas chromatography-mass spectrometry (G

185 eneity is identified by a fully unsupervised deconvolution of gene expression data.

186 Deconvolution of gene expression profiles revealed highe

187 Deconvolution of heterogeneous bulk tumor samples into d

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

189 r method makes a significant contribution to deconvolution of heterogeneous tumor samples and could b

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

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

192 also demonstrated to be highly effective for deconvolution of highly polydisperse and enhanced separa

193 cological and biophysical methods enable the deconvolution of key steps in the Cyt1Aa bioactivation c

194 Deconvolution of leucocyte fractions was conducted.

195 By deconvolution of levels of different cell types in tumou

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

197 Deconvolution of mass patterns allowed quantifying fract

198 tories using optimal, joint segmentation and deconvolution of mutation type and allele frequencies fr

199 Leukocyte deconvolution of nACD-affected skin identified major leu

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

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

202 Deconvolution of overlapping isotopic patterns indicated

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

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

205 Deconvolution of primary tumor gene expression data reve

206 t-squares method yields the best results for deconvolution of proteins with higher disordered content

207 issue common to Linked-Read technology: the deconvolution of reads with a single 3' barcode into clu

208 These data permit deconvolution of regulatory networks connecting regulato

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

210 stent and distinct patient subgroups through deconvolution of serum transcriptomics: 1) increased neu

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

212 proves over existing methods by allowing the deconvolution of subclones that have independent copy nu

213 ive matrix factorization (NMF) enables blind deconvolution of temporal information from large data se

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

215 The deconvolution of the amide I region (1580-1720 cm(-1)) a

216 We performed deconvolution of the bulk transcriptomic data to determi

217 This allows computational deconvolution of the cell-type-specific metabolic profil

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

219 Deconvolution of the contributions of these various func

220 characterize transcription has prevented the deconvolution of the contributions of transcription and

221 This model is interpreted as the blind deconvolution of the expected variant allele fractions (

222 Deconvolution of the genetic architecture underlying yie

223 d the rate constants for the PCET event from deconvolution of the luminescence quenching data.

224 Higher resolution sequencing enabled deconvolution of the microbiome of subglacial brine from

225 Further deconvolution of the PC1 top-correlated segments reveale

226 Typical methods for deconvolution of the photon events require advanced know

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

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

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

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

231 The deconvolution of their targets via chemical proteomics i

232 The simulations allowed deconvolution of thermodynamic factors that underlie thi

233 o define the signature, we performed network deconvolution of transcriptomics data derived from tissu

234 Computational deconvolution of whole-blood miRNAs into blood cell type

235 The deconvolution of widefield fluorescence images provides

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

237 therapeutic targets, we performed epigenomic deconvolution on 580 HNSCC samples from the TCGA dataset

238 T(2)* weIghted DEconvolution or TIDE analyzes individual free induction

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

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

241 ssion profiles, we compared CDSeq's complete deconvolution performance with seven other established d

242 orithm that approximately solves the barcode deconvolution problem for metagenomic data (where refere

243 This problem is known as the complete deconvolution problem, where the composition is revealed

244 vide a noise-robust approach to the complete deconvolution problem.

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

246 bases in different solvents followed by two deconvolution procedures, which aim at identifying the m

247 A fast deconvolution process generates initial guesses, which a

248 This deconvolution process has been used to highlight the pre

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

250 t of this computational separation, spectral deconvolution produces pure fragmentation mass spectra.

251 p a novel toolkit called robust and accurate deconvolution (RAD) to deconvolve biologically meaningfu

252 at an 'unmatched back projector' accelerates deconvolution relative to the classic Richardson-Lucy al

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

254 uided biological inference and validation of deconvolution results with the R/Shiny graphical user in

255 preparation and subsequent interpretation of deconvolution results.

256 Deconvolution revealed distinct molecular and histoepige

257 iEEG deconvolution revealed sustained positive responses to v

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

259 sis of tumor microenvironments by epigenomic deconvolution reveals potential novel biomarkers and tar

260 The UniScore is the weighted average of deconvolution scores (DScores) for each peak multiplied

261 (R(p)) of between 180 to 250 for the highest deconvolution settings.

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

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

264 nsitivity analyses functions that follow the deconvolution step may help to identify the mutational f

265 Using mathematical deconvolution strategies to unravel the complex copy-num

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

267 our analysis reveals systematic bias of all deconvolution techniques due to differences in cell size

268 ew derivatization and a two dimensional peak deconvolution techniques.

269 er transform-inverse Fourier transform based deconvolution that can be used to achieve the same ends.

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

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

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

273 spinning-disc confocal microscopy with image deconvolution to acquire macromolecular-scale detail of

274 profile of isotopologue peaks that requires deconvolution to ascertain the localization of isotope i

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

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

277 we re-analyze an exercise response study by deconvolution to identify physiologically relevant respo

278 We used intracranial encephalography deconvolution to overcome this obstacle.

279 f MDD cases and controls, we used epigenomic deconvolution to perform cell type-specific methylome-wi

280 per tumor were performed, followed by clonal deconvolution to reconstruct a phylogenetic tree for eac

281 s to score (1) the uniqueness and fit of the deconvolution to the data, (2) the consistency of the pe

282 In this study, time-resolved deconvolution (TRD) maps were produced to detect variant

283 y to separate neural processes may make iEEG deconvolution useful for studying a variety of complex c

284 Complete deconvolution using CDSeq represents a substantial techn

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

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

287 nce emission spectra of intact UWO241 cells, deconvolution was necessary to detect enhancement in ene

288 Currently available algorithms for CD deconvolution were designed to analyze the spectra of pr

289 ages using point spread function (PSF)-based deconvolution, where the point conductor plays the same

290 mputational method to improve reference-free deconvolution, which iteratively searches for cell type-

291 e we present a web application for cell-type deconvolution, which offers the functionality of our Epi

292 We envisage that epitope deconvolution will be an important aspect of future effo

293 feature selection using DecompPipeline, (ii) deconvolution with multiple parameters using MeDeCom, Re

294 Deconvolution with parallel factor analysis (PARAFAC) re

295 ovide further acceleration, particularly for deconvolution with spatially varying point spread functi

296 ombinatorial imaging technique that combines deconvolution with stepwise optical saturation microscop

297 Tumor deconvolution with subtype gene signatures shows that al

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

299 ariate curve resolution (MCR)-based spectral deconvolution workflow for untargeted gas chromatography

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