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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...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7299311/ https://ncbi.nlm.nih.gov/pubmed/32555729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233296 |
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