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    Chapter and Conference Paper

    Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler

    In this paper, we introduce the holdout sampler to find the defective pathways in high underdetermined phenotype prediction problems. This sampling algorithm is inspired by the bootstrap** procedure used in ...

    Juan Luis Fernández-Martínez, Ana Cernea in Bioinformatics and Biomedical Engineering (2018)

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    Chapter and Conference Paper

    Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher’s Ratio Sampler

    In this paper, we introduce the Fisher’s ratio sampler that serves to unravel the defective pathways in highly underdetermined phenotype prediction problems. This sampling algorithm first selects the most disc...

    Ana Cernea, Juan Luis Fernández-Martínez in Bioinformatics and Biomedical Engineering (2018)

  3. No Access

    Chapter and Conference Paper

    Comparison of Different Sampling Algorithms for Phenotype Prediction

    In this paper, we compare different sampling algorithms used for identifying the defective pathways in highly underdetermined phenotype prediction problems. The first algorithm (Fisher’s ratio sampler) selects...

    Ana Cernea, Juan Luis Fernández-Martínez in Bioinformatics and Biomedical Engineering (2018)

  4. No Access

    Chapter and Conference Paper

    Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases

    Studies of genomics make use of high throughput technology to discover and characterize genes associated with cancer and other illnesses. Genomics may be of particular value in discovering mechanisms and inter...

    Juan L. Fernández-Martínez, Enrique J. deAndrés-Galiana in Man–Machine Interactions 4 (2016)