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Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

PloS one, 2018-12, Vol.13 (12), p.e0206653-e0206653

2018

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Quantum annealing algorithms for Boolean tensor networks

Scientific reports, 2022-05, Vol.12 (1), p.8539-8539, Article 8539

2022

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Unsupervised Machine Learning for Analysis of Phase Separation in Ternary Lipid Mixture

Journal of chemical theory and computation, 2019-11, Vol.15 (11), p.6343-6357

2019

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The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Nature communications, 2020-06, Vol.11 (1), p.3096-3096, Article 3096

2020

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Mammalian stem cells reprogramming in response to terahertz radiation

PloS one, 2010-12, Vol.5 (12), p.e15806-e15806

2010

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Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals

PloS one, 2018-03, Vol.13 (3), p.e0193974-e0193974

2018

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Specificity and heterogeneity of terahertz radiation effect on gene expression in mouse mesenchymal stem cells

Scientific reports, 2013-01, Vol.3 (1), p.1184-1184, Article 1184

2013

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Metabolomics and the pig model reveal aberrant cardiac energy metabolism in metabolic syndrome

Scientific reports, 2020-02, Vol.10 (1), p.3483-3483, Article 3483

2020

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Robust effect of metabolic syndrome on major metabolic pathways in the myocardium

PloS one, 2019-12, Vol.14 (12), p.e0225857

2019

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The cardiac molecular setting of metabolic syndrome in pigs reveals disease susceptibility and suggests mechanisms that exacerbate COVID-19 outcomes in patients

Scientific reports, 2021-10, Vol.11 (1), p.19752-19752, Article 19752

2021

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Finding the Number of Latent Topics with Semantic Non-negative Matrix Factorization

IEEE access, 2021-01, Vol.9, p.1-1

2021

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Dynamical Model of Drug Accumulation in Bacteria: Sensitivity Analysis and Experimentally Testable Predictions

PloS one, 2016-11, Vol.11 (11), p.e0165899-e0165899

2016

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Author Correction: The cardiac molecular setting of metabolic syndrome in pigs reveals disease susceptibility and suggests mechanisms that exacerbate COVID-19 outcomes in patients

Scientific reports, 2021-10, Vol.11 (1), p.21613-21613, Article 21613

2021

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Impaired cardiac glycolysis and glycogen depletion are linked to poor myocardial outcomes in juvenile male swine with metabolic syndrome and ischemia

Physiological reports, 2023-08, Vol.11 (15), p.e15742-n/a

2023

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Contaminant source identification using semi-supervised machine learning

Journal of contaminant hydrology, 2018-05, Vol.212, p.134-142

2018

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Non-thermal effects of terahertz radiation on gene expression in mouse stem cells

Biomedical optics express, 2011-09, Vol.2 (9), p.2679-2689

2011

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Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization

Water resources research, 2014-09, Vol.50 (9), p.7332-7347

2014

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Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering

npj computational materials, 2018-08, Vol.4 (1), p.1-10, Article 43

2018

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Toward a detailed description of the thermally induced dynamics of the core promoter

PLoS computational biology, 2009-03, Vol.5 (3), p.e1000313-e1000313

2009

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Nonnegative tensor factorization for contaminant source identification

Journal of contaminant hydrology, 2019-01, Vol.220, p.66-97

2019

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Identification of release sources in advection–diffusion system by machine learning combined with Green’s function inverse method

Applied Mathematical Modelling, 2018-08, Vol.60 (C), p.64-76

2018

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DNA dynamics is likely to be a factor in the genomic nucleotide repeats expansions related to diseases

PloS one, 2011-05, Vol.6 (5), p.e19800-e19800

2011

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Robust Adversarial Defense by Tensor Factorization

2023 International Conference on Machine Learning and Applications (ICMLA), 2023, p.308-315

2023

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Improved Protein Decoy Selection via Non-Negative Matrix Factorization

IEEE/ACM transactions on computational biology and bioinformatics, 2022-05, Vol.19 (3), p.1670-1682

2022

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Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

Quantum annealing algorithms for Boolean tensor networks

Unsupervised Machine Learning for Analysis of Phase Separation in Ternary Lipid Mixture

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Mammalian stem cells reprogramming in response to terahertz radiation

Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals

Specificity and heterogeneity of terahertz radiation effect on gene expression in mouse mesenchymal stem cells

Metabolomics and the pig model reveal aberrant cardiac energy metabolism in metabolic syndrome

Robust effect of metabolic syndrome on major metabolic pathways in the myocardium

The cardiac molecular setting of metabolic syndrome in pigs reveals disease susceptibility and suggests mechanisms that exacerbate COVID-19 outcomes in patients

Finding the Number of Latent Topics with Semantic Non-negative Matrix Factorization

Dynamical Model of Drug Accumulation in Bacteria: Sensitivity Analysis and Experimentally Testable Predictions

Author Correction: The cardiac molecular setting of metabolic syndrome in pigs reveals disease susceptibility and suggests mechanisms that exacerbate COVID-19 outcomes in patients

Impaired cardiac glycolysis and glycogen depletion are linked to poor myocardial outcomes in juvenile male swine with metabolic syndrome and ischemia

Contaminant source identification using semi-supervised machine learning

Non-thermal effects of terahertz radiation on gene expression in mouse stem cells

Blind source separation for groundwater pressure analysis based on nonnegative matrix factorization

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering

Toward a detailed description of the thermally induced dynamics of the core promoter

Nonnegative tensor factorization for contaminant source identification

Identification of release sources in advection–diffusion system by machine learning combined with Green’s function inverse method

DNA dynamics is likely to be a factor in the genomic nucleotide repeats expansions related to diseases

Robust Adversarial Defense by Tensor Factorization

Improved Protein Decoy Selection via Non-Negative Matrix Factorization

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