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Interpretable per Case Weighted Ensemble Method for Cancer Associations

bioRxiv

Sep 15, 2014

Adrin Jalali, Nico Pfeifer

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Abstract

Motivation: Molecular measurements from cancer patients such as gene expression and DNA methylation are usually very noisy. Furthermore, cancer types can be very heterogeneous. Therefore, one of the main assumptions for machine learning, that the underlying unknown distribution is the s...read more

Mentioned in this Paper

Gene Expression
Study
Ribosomes
Classification
Leukemia
Motivation
Ensembl
Ribosomal Proteins
Follow-up
Learning
4
Paper Details
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  • Interpretable per Case Weighted Ensemble Method for Cancer Associations

    bioRxiv

    Sep 15, 2014

    Adrin Jalali, Nico Pfeifer

    PMID: 990008185

    DOI: 10.1101/008185

    Abstract

    Motivation: Molecular measurements from cancer patients such as gene expression and DNA methylation are usually very noisy. Furthermore, cancer types can be very heterogeneous. Therefore, one of the main assumptions for machine learning, that the underlying unknown distribution is the s...read more

    Mentioned in this Paper

    Gene Expression
    Study
    Ribosomes
    Classification
    Leukemia
    4
    Paper Details
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