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Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data

PloS one, 2022-08, Vol.17 (8), p.e0268881-e0268881

2022

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Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (MSI)

Scientific reports, 2022-09, Vol.12 (1), p.15687-15687, Article 15687

2022

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Chemometrics for ion mobility spectrometry data: recent advances and future prospects

Analyst (London), 2016-10, Vol.141 (2), p.5689-578

2016

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NMR and pattern recognition methods in metabolomics: From data acquisition to biomarker discovery: A review

Analytica chimica acta, 2012-10, Vol.750, p.82-97

2012

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Convolutional neural networks for vibrational spectroscopic data analysis

Analytica chimica acta, 2017-02, Vol.954, p.22-31

2017

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Interpretation and visualization of non-linear data fusion in kernel space: study on metabolomic characterization of progression of multiple sclerosis

PloS one, 2012-06, Vol.7 (6), p.e38163-e38163

2012

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Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis

BMC bioinformatics, 2011-06, Vol.12 (1), p.254-254, Article 254

2011

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The Impact of Delayed Storage on the Measured Proteome and Metabolome of Human Cerebrospinal Fluid

Clinical chemistry (Baltimore, Md.), 2011-12, Vol.57 (12), p.1703-1711

2011

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Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments

Analytical chemistry (Washington), 2015-12, Vol.87 (24), p.12096-12103

2015

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Comprehensive Data Scientific Procedure for Enhanced Analysis and Interpretation of Real-Time Breath Measurements in In Vivo Aroma-Release Studies

Analytical chemistry (Washington), 2015-10, Vol.87 (20), p.10338-10345

2015

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Data Size Reduction Strategy for the Classification of Breath and Air Samples Using Multicapillary Column-Ion Mobility Spectrometry

Analytical chemistry (Washington), 2015-01, Vol.87 (2), p.869-875

2015

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Improved variable reduction in partial least squares modelling based on Predictive-Property-Ranked Variables and adaptation of partial least squares complexity

Analytica chimica acta, 2011-10, Vol.705 (1), p.292-305

2011

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Predictive-property-ranked variable reduction in partial least squares modelling with final complexity adapted models: Comparison of properties for ranking

Analytica chimica acta, 2013-01, Vol.760, p.34-45

2013

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Improved variable reduction in partial least squares modelling by Global-Minimum Error Uninformative-Variable Elimination

Analytica chimica acta, 2017-08, Vol.982, p.37-47

2017

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Multi-set Pre-processing of Multicolor Flow Cytometry Data

Scientific reports, 2020-06, Vol.10 (1), p.9716-9716, Article 9716

2020

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A novel data fusion method for the effective analysis of multiple panels of flow cytometry data

Scientific reports, 2019-05, Vol.9 (1), p.6777-6777, Article 6777

2019

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Integrating gene expression and GO classification for PCA by preclustering

BMC bioinformatics, 2010-03, Vol.11 (1), p.158-158, Article 158

2010

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Towards the disease biomarker in an individual patient using statistical health monitoring

PloS one, 2014-04, Vol.9 (4), p.e92452-e92452

2014

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A comprehensive full factorial LC-MS/MS proteomics benchmark data set

Proteomics (Weinheim), 2012-08, Vol.12 (14), p.2276-2281

2012

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Triple-negative breast cancer: Present challenges and new perspectives

Molecular oncology, 2010-06, Vol.4 (3), p.209-229

2010

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Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis

Talanta (Oxford), 2012-09, Vol.99, p.426-432

2012

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Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype

Scientific reports, 2017-07, Vol.7 (1), p.5471-11, Article 5471

2017

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Self- and Super-organizing Maps in R : The kohonen Package

Journal of statistical software, 2007-10, Vol.21 (5)

2007

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Predictive-Property-Ranked Variable Reduction with Final Complexity Adapted Models in Partial Least Squares Modeling for Multiple Responses

Analytical chemistry (Washington), 2013-06, Vol.85 (11), p.5444-5453

2013

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Multivariate Calibration with Least-Squares Support Vector Machines

Analytical chemistry (Washington), 2004-06, Vol.76 (11), p.3099-3105

2004

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Convolutional neural networks to predict brain tumor grades and Alzheimer’s disease with MR spectroscopic imaging data

Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (MSI)

Chemometrics for ion mobility spectrometry data: recent advances and future prospects

NMR and pattern recognition methods in metabolomics: From data acquisition to biomarker discovery: A review

Convolutional neural networks for vibrational spectroscopic data analysis

Interpretation and visualization of non-linear data fusion in kernel space: study on metabolomic characterization of progression of multiple sclerosis

Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis

The Impact of Delayed Storage on the Measured Proteome and Metabolome of Human Cerebrospinal Fluid

Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments

Comprehensive Data Scientific Procedure for Enhanced Analysis and Interpretation of Real-Time Breath Measurements in In Vivo Aroma-Release Studies

Data Size Reduction Strategy for the Classification of Breath and Air Samples Using Multicapillary Column-Ion Mobility Spectrometry

Improved variable reduction in partial least squares modelling based on Predictive-Property-Ranked Variables and adaptation of partial least squares complexity

Predictive-property-ranked variable reduction in partial least squares modelling with final complexity adapted models: Comparison of properties for ranking

Improved variable reduction in partial least squares modelling by Global-Minimum Error Uninformative-Variable Elimination

Multi-set Pre-processing of Multicolor Flow Cytometry Data

A novel data fusion method for the effective analysis of multiple panels of flow cytometry data

Integrating gene expression and GO classification for PCA by preclustering

Towards the disease biomarker in an individual patient using statistical health monitoring

A comprehensive full factorial LC-MS/MS proteomics benchmark data set

Triple-negative breast cancer: Present challenges and new perspectives

Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis

Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype

Self- and Super-organizing Maps in R : The kohonen Package

Predictive-Property-Ranked Variable Reduction with Final Complexity Adapted Models in Partial Least Squares Modeling for Multiple Responses

Multivariate Calibration with Least-Squares Support Vector Machines

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