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MoSBi: Automated signature mining for molecular stratification and subtyping
The improving access to increasing amounts of biomedical data provides completely new chances for advanced patient stratification and disease subtyping strategies. This requires computational tools that produce uniformly robust results across highly heterogeneous molecular data. Unsupervised machine...
Autores principales: | Rose, Tim Daniel, Bechtler, Thibault, Ciora, Octavia-Andreea, Anh Lilian Le, Kim, Molnar, Florian, Köhler, Nikolai, Baumbach, Jan, Röttger, Richard, Pauling, Josch Konstantin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169782/ https://www.ncbi.nlm.nih.gov/pubmed/35412913 http://dx.doi.org/10.1073/pnas.2118210119 |
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