Publikationen, an denen er mitarbeitet AUGUSTO ANGUITA RUIZ (14)

2024

  1. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

    Artificial Intelligence in Medicine, Vol. 156

2023

  1. Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression

    Computer Methods and Programs in Biomedicine, Vol. 240

  2. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy

    Fuzzy Sets and Systems, Vol. 465

  3. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity

    Genes, Vol. 14, Núm. 2

  4. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity

    Computers in Biology and Medicine, Vol. 163

2022

  1. Gene Expression Profiles of Visceral and Subcutaneous Adipose Tissues in Children with Overweight or Obesity: The KIDADIPOSEQ Project

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies

    Expert Systems with Applications, Vol. 193

  4. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension

    International Journal of Fuzzy Systems, Vol. 24, Núm. 7, pp. 3082-3103

2021

  1. Multi-omics integration and machine learning for the identification of molecular markers of insulin resistance in prepubertal and pubertal children with obesity

    Multi-omics integration and machine learning for the identification of molecular markers of insulin resistance in prepubertal and pubertal children with obesity

  2. Omics approaches in adipose tissue and skeletal muscle addressing the role of extracellular matrix in obesity and metabolic dysfunction

    International Journal of Molecular Sciences, Vol. 22, Núm. 5, pp. 1-33

2020

  1. EXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research

    PLoS Computational Biology, Vol. 16, Núm. 4

  2. Evaluation of the predictive ability, environmental regulation and pharmacogenetics utility of a bmi-predisposing genetic risk score during childhood and puberty

    Journal of Clinical Medicine, Vol. 9, Núm. 6

2019

  1. Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)