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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Biological Sciences
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

Internet

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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