Detalhe da pesquisa
1.
eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research.
PLoS Comput Biol
; 16(4): e1007792, 2020 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32275707
2.
Omics Approaches in Adipose Tissue and Skeletal Muscle Addressing the Role of Extracellular Matrix in Obesity and Metabolic Dysfunction.
Int J Mol Sci
; 22(5)2021 Mar 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33803198
3.
Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity.
Genes (Basel)
; 14(2)2023 01 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-36833178
4.
Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression.
Comput Methods Programs Biomed
; 240: 107719, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37453366
5.
Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity.
Comput Biol Med
; 163: 107085, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37399741
6.
Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty.
J Clin Med
; 9(6)2020 Jun 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-32498346