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Identifying and predicting Parkinson’s disease subtypes through trajectory clustering via bipartite networks
Chronic medical conditions show substantial heterogeneity in their clinical features and progression. We develop the novel data-driven, network-based Trajectory Profile Clustering (TPC) algorithm for 1) identification of disease subtypes and 2) early prediction of subtype/disease progression pattern...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7299311/ https://www.ncbi.nlm.nih.gov/pubmed/32555729 http://dx.doi.org/10.1371/journal.pone.0233296 |