(Q38013035)

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Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives.

scientific article published on 25 May 2012

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2 February 2020

Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives (English)

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2 February 2020

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2 February 2020

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Júlio Trevisan

1

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2 February 2020

Paul L Carmichael

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2 February 2020

Andrew D Scott

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2 February 2020

Francis L Martin

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25 May 2012

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2 February 2020

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2 February 2020

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2 February 2020

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2 February 2020

3202-3215

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2 February 2020

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Reliable and rapid identification of Listeria monocytogenes and Listeria species by artificial neural network-based Fourier transform infrared spectroscopy

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21 January 2018

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Evidence for a stem-cell lineage in corneal squamous cell carcinoma using synchrotron-based Fourier-transform infrared microspectroscopy and multivariate analysis.

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21 January 2018

Biospectroscopy to metabolically profile biomolecular structure: a multistage approach linking computational analysis with biomarkers

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21 January 2018

A machine learning perspective on the development of clinical decision support systems utilizing mass spectra of blood samples

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21 January 2018

IR microspectroscopy: potential applications in cervical cancer screening

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21 January 2018

A decade of vibrational micro-spectroscopy of human cells and tissue (1994-2004).

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21 January 2018

High-resolution Fourier-transform infrared chemical imaging with multiple synchrotron beams

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21 January 2018

Creating robust, reliable, clinically relevant classifiers from spectroscopic data

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21 January 2018

Statistical pattern recognition: a review

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21 January 2018

Application of multivariate data-analysis techniques to biomedical diagnostics based on mid-infrared spectroscopy

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21 January 2018

Stacked generalization

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21 January 2018

From magnetic resonance spectroscopy to classification of tumors. A review of pattern recognition methods.

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Assessing and improving the stability of chemometric models in small sample size situations

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Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data

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10.1039/C2AN16300D

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:22627698%20AND%20SRC:MED&resulttype=core&format=json

2 February 2020

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:22627698%20AND%20SRC:MED&resulttype=core&format=json

2 February 2020

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