ライフサイエンスコーパス: NMF

1 NMF appears to have advantages over other methods such a

2 NMF distinguished all three mutagens and in the pooled a

3 NMF identified 20 unbiased SCNs, which aligned closely w

4 NMF identified nine clusters that reflect different aspe

5 NMF is a well-established method for uncovering underlyi

6 NMF levels are highly correlated with corneocyte morphol

7 NMF levels were ascertained using confocal Raman spectro

8 NMF values were also inversely correlated with skin surf

9 NMF was first used to decompose the full nontargeted che

10 ctrode P2-Na(0.67-x) [Fe(0.5) Mn(0.5) ]O(2) (NMF) where Fe is partially substituted with Cu (P2-Na(0.

11 minates LiCl to produce monolayer Re(6)Se(8)(NMF)(2-x) (x ~ 0.4) as high-quality nanosheets.

12 ired electrons on each cluster in Re(6)Se(8)(NMF)(2-x) enable covalent surface functionalization thro

13 We have developed a NMF analysis plug-in in BRB-ArrayTools for unsupervised

14 r evaluation of the safety and efficacy of a NMF remains a challenge.

15 products of filaggrin-derived amino acids ("NMF") but also endogenous glycerol from circulation into

16 We adapt NMF for our analyses and compare its performance to alte

17 on with alternating least-squares algorithm (NMF-ALS) to solve spectral overlaps.

18 ork for any stochastic clustering algorithm, NMF is an efficient method for identification of distinc

19 rue tumor fragment length distribution as an NMF component - and that the sample weights of this comp

20 ever, inferring biological processes from an NMF result still requires additional post hoc statistics

21 or the non-negative coefficient matrix in an NMF needs to be controlled in approximating high-dimensi

22 results from ICA, PCA, NMF and scCoGAPS (an NMF method designed for single-cell data) in terms of di

23 nal distance between sites, and find that an NMF-filtered measure of functional distance is more stro

24 induction of apoptosis by both etoposide and NMF was associated with a reduction in the cellular leve

25 all, OmicsNMF effectively leverages GANs and NMF to impute missing samples while preserving key biolo

26 , however, is approximately 60% for sCCA and NMF and nearly 30% for MALA, and the proportion of featu

27 We find that sCCA and NMF are able to identify differential features in simula

28 atients with AD stratified by FLG status and NMF level.

29 the manual pipeline can be replaced with any NMF algorithm, for further generalization of the softwar

30 COBIND applies NMF to one-hot encoded regions flanking known TF binding

31 orithm is described, which works by applying NMF to the envelope matrix (envelopogram) of 22 frequenc

32 stem may be performing a similar function as NMF with sparsity constraints, which provides a test bed

33 tasets, and some projection methods, such as NMF, occasionally outperformed all selection methods on

34 We propose a Bayesian NMF method that jointly decomposes multiple datasets to

35 APS), the first robust whole genome Bayesian NMF using the sparse, MCMC algorithm, CoGAPS.

36 followed by four procedures for the Bayesian NMF algorithm Coordinated Gene Activity across Pattern S

37 We found a strong correlation between NMF levels and Dermal Texture Index scores in both acute

38 breaking the C-C bond provides links between NMF and HCNO/CH(2)NH.

39 s of structural covariance (PSCs) derived by NMF were highly reproducible over a range of resolutions

40 isomerase II induced by etoposide but not by NMF.

41 we identified epigenetic related subtypes by NMF clustering and constructed a clinical prognostic mod

42 coupled nonnegative matrix factorization (C-NMF).

43 In most cases, NMF accurately decomposed the images into contributions

44 procedure steps through the same single-cell NMF analysis using our R CoGAPS interface.

45 ara-hydrogen at 3.3 K and found that the cis-NMF isomer, which has higher energy, increased continuou

46 O produced only cis-radicals that led to cis-NMF.

47 ntly described variant of NMF, namely Convex-NMF, as an unsupervised method of source extraction from

48 The application of Convex-NMF in computer assisted decision support systems is exp

49 The unsupervised properties of Convex-NMF place this approach one step ahead of classical labe

50 in fully unsupervised mode and using Convex-NMF as a DR step previous to standard supervised classif

51 Each procedure will demonstrate NMF analysis to quantify cell state transitions in a pub

52 However, ICRF-193 had no effect on either NMF- or camptothecin-induced DNA fragmentation.

53 ying any peak aggregation method (especially NMF and PCA) improves the statistical prediction power o

54 However, existing NMF techniques only decompose a single dataset, limiting

55 er computing time compared to other existing NMF algorithms.

56 isfactory results in such cases, we extended NMF to incorporate preexisting qualitative knowledge abo

57 lvent systems: water, 6 M urea in water, FA, NMF, and DMF.

58 We analyzed natural moisturizing factor (NMF) and 17 immune markers represented by mRNA levels in

59 um corneum (SC) natural moisturizing factor (NMF) components and consequent increased SC pH.

60 e components of natural moisturizing factor (NMF) showed the distribution of water to be higher and h

61 Natural moisturizing factor (NMF), corneocyte surface protrusions, cytokines, free sp

62 constituents of natural moisturizing factor (NMF), important in maintaining SC hydration.

63 ctants known as natural moisturizing factor (NMF).

64 kdown products (natural moisturizing factor [NMF]), and corneocyte morphology in patients with AD.

65 based on non-negative matrix factorisation (NMF) and the associated software called seqArchR that cl

66 find that non-negative matrix factorisation (NMF) clearly outperforms principal components analysis.

67 range of Non-negative Matrix Factorisation (NMF) methods in two respects: first, to derive sources c

68 ors and a non-negative matrix factorisation (NMF) source apportionment technique are used to investig

69 by using non-negative matrix factorisation (NMF) techniques.

70 eveloped a nonnegative matrix factorization (NMF) algorithm to detect and separate spectrally distinc

71 Non-negative Matrix Factorization (NMF) algorithms associate gene expression with biologica

72 ed by our non-negative matrix factorization (NMF) analysis of the UKBEC gene expression data.

73 , such as non-negative matrix factorization (NMF) and Convex Analysis of Mixtures (CAM), in contrast,

74 Non-negative matrix factorization (NMF) and k-means clustering were performed to identify D

75 Using non-negative matrix factorization (NMF) and label transfer, we integrated these data by def

76 s (sCCA), non-negative matrix factorization (NMF) and logic data mining MicroArray Logic Analyzer (MA

77 multitask nonnegative matrix factorization (NMF) approach that can be applied to time series or hier

78 consensus non-negative matrix factorization (NMF) based clustering.

79 based on non-negative matrix factorization (NMF) enables blind deconvolution of temporal information

80 we apply non-negative matrix factorization (NMF) for the unsupervised analysis of ToF-SIMS chemical

81 iterative nonnegative matrix factorization (NMF) framework and then used for synchronized integratio

82 supervised nonnegative matrix factorization (NMF) framework that effectively separates both technical

83 is method non-negative matrix factorization (NMF) has been applied to the analysis of gene array expe

84 tudy uses non-negative matrix factorization (NMF) in a community-based participatory research study t

85 ces using non-negative matrix factorization (NMF) in a moderately polluted urban area.

86 ved using non-negative matrix factorization (NMF) into discrete trinucleotide-based mutational signat

87 Non-negative matrix factorization (NMF) is a technique widely used in various fields, inclu

88 Nonnegative Matrix Factorization (NMF) is an especially promising DR analysis method for a

89 Non-negative matrix factorization (NMF) is an increasingly used algorithm for the analysis

90 Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to h

91 Nonnegative matrix factorization (NMF) is then utilized to map the time- and compositional

92 Nonnegative matrix factorization (NMF) is widely used to analyze high-dimensional count da

93 e propose non-negative matrix factorization (NMF) of fragment length distributions as a novel and com

94 NMDS) and non-negative matrix factorization (NMF) on the same nontargeted chemical data set to compar

95 then use non-negative matrix factorization (NMF) to approximate these protein family profiles as lin

96 applying non-negative matrix factorization (NMF) to CT data from 961 PTSD patients and 1124 trauma-e

97 en applied nonnegative matrix factorization (NMF) to discover overlapping clusters of related traits

98 based on non-negative matrix factorization (NMF) to identify TF co-binding patterns automatically.

99 s, we used nonnegative matrix factorization (NMF) to uncover coordinated patterns of cortical develop

100 neration, Non-Negative Matrix Factorization (NMF) topics and sentiment characteristics using VADER, s

101 chniques: non-negative matrix factorization (NMF) using additional sparse conditioning (SC), and the

102 known as non-negative matrix factorization (NMF) was previously shown to account for a wide range of

103 (PCA) and nonnegative matrix factorization (NMF) were used for dimension reduction and feature detec

104 ntation of nonnegative matrix factorization (NMF) with a new stability-driven model selection criteri

105 the use of nonnegative matrix factorization (NMF), an algorithm based on decomposition by parts that

106 eduction: non-negative matrix factorization (NMF), followed by linear discriminant analysis (LDA).

107 is (PCA), non-negative matrix factorization (NMF), maximum autocorrelation factor (MAF), and probabil

108 gularized non-negative matrix factorization (NMF), named Flexible Analysis of Spatial Transcriptomics

109 PCA, and Non-Negative Matrix Factorization (NMF), were compared to nine selection methods, such as M

110 lished by non-negative matrix factorization (NMF).

111 taset via Non-negative Matrix Factorization (NMF).

112 ata using non-negative matrix factorization (NMF).

113 ANs) with Non-Negative Matrix Factorization (NMF).

114 ion using non-negative matrix factorization (NMF).

115 od called non-negative matrix factorization (NMF).

116 (PLS) and Non-negative Matrix Factorization (NMF).

117 genes via non-negative matrix factorization (NMF).

118 s, such as nonnegative matrix factorization (NMF).

119 based on non-negative matrix factorization (NMF).

120 (SRT) for identifying neuromuscular fatigue (NMF) status.

121 s in the mean-field (MF) and non-mean-field (NMF) regions corresponding to d >/= 4 and d < 4 for the

122 uation leverages the Noisy Measurement File (NMF) as well as two independent runs of the TopDown algo

123 The algorithms used for NMF and Semi-NMF are available at ftp://linus.nci.nih.go

124 The development of new medical formulations (NMF) for reconstructive therapies has considerably impro

125 rns similar to the patterns that emerge from NMF, resulting in MSTd-like receptive fields observed in

126 led with nanoporous material functionalized (NMF) liquid.

127 prostate cancer (mCRPC), we demonstrate how NMF accurately infers the true tumor fragment length dis

128 We conclude by discussing how NMF, and other dimension reduction methods, can help ena

129 suite of computational tools that implement NMF and provide methods for accurate and clear biologica

130 Due to the nanoscale infiltration in NMF liquid and its interaction with cell walls, the cell

131 ions elaborate considerable anionic redox in NMF and NMFC without the widely accepted requirement of

132 s alone, with or without NMF, or using joint NMF with only one type of loss We also compared HNMF wit

133 splay of corneodesmosin that accompanies low NMF in AD.

134 ClfB have a reduced ability to adhere to low-NMF corneocytes from patients.

135 n of the so-called peak aggregation methods (NMF Reduction, PCA Decomposition, Maximum Peak, and Spec

136 icroM etoposide or 300 mM N-methylformamide (NMF), a nongenotoxic agent.

137 solvents, formamide (FA), N-methylformamide (NMF), and N,N-dimethylformamide (DMF) were compared to t

138 Use of N-methylformamide (NMF), which has not previously been a solvent known for

139 d Li(2)Re(6)Se(8)Cl(2) in N-methylformamide (NMF).

140 o shown to be a viable measure of monitoring NMF status.

141 Besides, most NMF research focuses only on blind decompositions: decom

142 onses to the DA uptake blocker, nomifensine (NMF), were assessed in these preparations.

143 We demonstrate the ability of NMF to recover meaningful biological information from ca

144 r, we demonstrate some novel applications of NMF and show how to use masking to inject prior knowledg

145 ng has contributed to the recent approval of NMF such as GEM 21S and INFUSE bone grafts for periodont

146 significant decrease in the concentration of NMF was observed for corneocytes isolated from superfici

147 infants than in adults; the concentration of NMF was significantly lower in infants.

148 A generalized discussion of NMF covering its benefits, limitations and open question

149 te pre-clinical models for the evaluation of NMF in situations requiring periodontal or oral reconstr

150 esional and non-lesional skin, the levels of NMF and selected cytokines differed significantly betwee

151 sent on corneocytes containing low levels of NMF and that blocking it with an antibody inhibited bind

152 we characterized the spatial organization of NMF patterns corresponding to pyramidal neurons and iden

153 The stability of NMF-generated mutational signatures depends upon the num

154 mples of screening and functional studies of NMF that can be translated into clinical use.

155 and molecular structure in the treatment of NMF-related diseases is discussed.

156 age of using a recently described variant of NMF, namely Convex-NMF, as an unsupervised method of sou

157 More specifically, an expanded variant of NMF, NMFk, was employed to determine the data set's late

158 cal validation and enhanced visualization of NMF results.

159 ariate associations, the relative weights of NMF solutions can obscure biomarkers.

160 Treatment with etoposide or NMF induced the morphology of apoptosis within 4 hr.

161 tion studies show GRACKLE outperformed other NMF algorithms, especially with increased background noi

162 ze of the factor model and outperforms other NMF models in predicting RBP interaction sites on RNA.

163 cale similarity between expression patterns, NMF is a recently developed machine learning technique c

164 ed factors outperform results from ICA, PCA, NMF and scCoGAPS (an NMF method designed for single-cell

165 ing window approach was developed to perform NMF one pixel at a time on short segments of large (e.g.

166 tissue); second, taking the best performing NMF method for source separation, we compare its accurac

167 f-sample prediction error than probabilistic NMF on three spatial transcriptomics datasets from mouse

168 are available at ftp://linus.nci.nih.gov/pub/NMF.

169 An IR parameter that measures the relative NMF concentration in corneocytes is introduced.

170 tly used in the literature and with the same NMF parametrization as the one considered here.

171 The algorithms used for NMF and Semi-NMF are available at ftp://linus.nci.nih.gov/pub/NMF.

172 tool also incorporates an algorithm for Semi-NMF which can handle both positive and negative elements

173 and the marker-based supervised methods semi-NMF and DSA.

174 We further demonstrate how using several NMF components enables accurate cancer detection on data

175 We found in six NMF-derived cortical thickness patterns, the longitudina

176 new formulation leads to a convergent sparse NMF algorithm via alternating non-negativity-constrained

177 , we introduce a novel formulation of sparse NMF and show how the new formulation leads to a converge

178 We apply our sparse NMF algorithm to cancer-class discovery and gene express

179 results illustrate that the proposed sparse NMF algorithm often achieves better clustering performan

180 ion encoder to 80% to 100% for the suggested NMF coding strategy was observed.

181 We demonstrate that NMF can handle missing values naturally and this propert

182 We find that NMF is well-suited for analyzing calcium imaging recordi

183 n artificially generated sequences show that NMF can faithfully reproduce both positioning and conten

184 Finally, we show that NMF, when applied across genomic regions, can be used to

185 The NMF analysis plug-in is freely available in BRB-ArrayToo

186 The NMF is applied to combined data from all houses to gener

187 Applying the NMF filter to the analysis of triboluminescence (TL) dat

188 We provide a comparison of applying the NMF technique to both normalized and non-normalized data

189 the two approaches markedly disagree in the NMF case, where the MC data indicates a transition, whil

190 estimate of the critical exponent nu in the NMF region is about twice as large as its classical valu

191 results indicate that the transition in the NMF region is governed by strong non-perturbative effect

192 sing random initial guesses for the IRF, the NMF filter simultaneously recovered both the deconvolved

193 Leveraging the NMF and label transfer approach with rodent datasets, we

194 Finally, we demonstrate the use of the NMF approach through characterization of biologically in

195 ed on an empirical Bayesian treatment of the NMF model.

196 high dimensionality and nonconvexity of the NMF paradigm.

197 TopDown's postprocessing reduces the NMF noise and produces data whose accuracy is similar to

198 We find that the NMF contains too much noise to be directly useful withou

199 dea of sequential coordinate-wise descent to NMF to increase the convergence rate.

200 ombines the spectral unmixing of traditional NMF with k-means clustering of the resulting factors and

201 based mutational signatures than traditional NMF approaches.

202 We performed reactions of H atoms with trans-NMF in solid para-hydrogen at 3.3 K and found that the c

203 pplications such as spatial transcriptomics, NMF fails to incorporate known structure between observa

204 Using NMF, we identified three clusters based on concentration

205 We also show that using NMF for tumour content deconvolution can achieve results

206 Utilizing NMF, a dimension reduction method, we identified a sourc

207 higher in children who developed AD, whereas NMF and corneocyte surface texture were similar.

208 r large-scale DNA methylation studies, while NMF does well in the unsupervised context.

209 these levels were inversely correlated with NMF levels.

210 or genotype features alone, with or without NMF, or using joint NMF with only one type of loss We al