Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity
2023 · Genes · 29 citations
https://doi.org/10.3390/genes14020248
M
Mireia Bustos‐Aibar
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
10
Papers
76
Citations
4
h-index
3
i10-index
Mireia Bustos‐Aibar is an academic researcher from Universidad de Granada. The author has contributed to research in topics: Adipokines, Inflammation, and Metabolic Diseases & Bioinformatics and Genomic Networks & Adipose Tissue and Metabolism. The author has an h-index of 4, co-authored 9 publications.
ORCID: 0000-0002-2520-8006Papers by this author
worksMultiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study
2024 · Artificial Intelligence in Medicine · 15 citations
https://doi.org/10.1016/j.artmed.2024.102962
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity
2023 · Computers in Biology and Medicine · 2 citations
https://doi.org/10.1016/j.compbiomed.2023.107085
<scp>ObMetrics</scp>: A Shiny app to assist in metabolic syndrome assessment in paediatric obesity
2025 · Pediatric Obesity · 1 citations
https://doi.org/10.1111/ijpo.70016
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat