Ontology highlight
ABSTRACT:
SUBMITTER: M Amaral D
PROVIDER: S-EPMC11231290 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature
M Amaral Daniela D Soares Diogo F DF Gromicho Marta M de Carvalho Mamede M Madeira Sara C SC Tomás Pedro P Aidos Helena H
Nature communications 20240708 1
Identifying groups of patients with similar disease progression patterns is key to understand disease heterogeneity, guide clinical decisions and improve patient care. In this paper, we propose a data-driven temporal stratification approach, ClusTric, combining triclustering and hierarchical clustering. The proposed approach enables the discovery of complex disease progression patterns not found by univariate temporal analyses. As a case study, we use Amyotrophic Lateral Sclerosis (ALS), a neuro ...[more]