Enhancing statistical power in temporal biomarker discovery through representative shapelet mining

MOTIVATION: Temporal biomarker discovery in longitudinal data is based on detecting reoccurring trajectories, the so-called shapelets. The search for shapelets requires considering all subsequences in the data. While the accompanying issue of multiple testing has been mitigated in previous work, the...

Descripción completa

Detalles Bibliográficos
Autores principales: Gumbsch, Thomas, Bock, Christian, Moor, Michael, Rieck, Bastian, Borgwardt, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773478/
https://www.ncbi.nlm.nih.gov/pubmed/33381811
http://dx.doi.org/10.1093/bioinformatics/btaa815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773478/
https://www.ncbi.nlm.nih.gov/pubmed/33381811
http://dx.doi.org/10.1093/bioinformatics/btaa815

Ejemplares similares