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Feature selection, SVM-based classification and application to mass spectrometry data analysis

Feature selection, SVM-based classification and application to mass spectrometry data analysis

Feature selection, SVM-based classification and application to mass spectrometry data analysis. Elena Marchiori Department of Computer Science Vrije Universiteit Amsterdam. Overview. Support Vector Machines Variable selection Application in Bioinformatics. Support Vector Machines.

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582 views • 41 slides
SVM-based techniques for biomarker discovery in proteomic pattern data

SVM-based techniques for biomarker discovery in proteomic pattern data

SVM-based techniques for biomarker discovery in proteomic pattern data. Elena Marchiori Department of Computer Science Vrije Universiteit Amsterdam. Overview. Variable selection SVM-based techniques Application to proteomic pattern data Results Conclusion. Variable Selection.

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428 views • 26 slides
Using SVM Weight-Based Methods to Identify Causally Relevant and Non-Causally Relevant Variables

Using SVM Weight-Based Methods to Identify Causally Relevant and Non-Causally Relevant Variables

NIPS 2006 Workshop on Causality and Feature Selection. Using SVM Weight-Based Methods to Identify Causally Relevant and Non-Causally Relevant Variables. Alexander Statnikov 1 , Douglas Hardin 1,2 , Constantin Aliferis 1,3 1 Department of Biomedical Informatics,

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413 views • 24 slides
Machine Learning techniques for biomarker discovery in proteomic pattern data

Machine Learning techniques for biomarker discovery in proteomic pattern data

Machine Learning techniques for biomarker discovery in proteomic pattern data. Elena Marchiori Department of Computer Science Vrije Universiteit Amsterdam. Overview. Proteomic pattern data How to use the data Approaches Methodology Case study Conclusion.

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446 views • 22 slides

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