Multiomics Topic Modeling for Breast Cancer Classification

SIMPLE SUMMARY: Topic models are algorithms introduced for discovering hidden topics or latent variables in large, unstructured text corpora. Leveraging on analogies between texts and gene expression profiles, these algorithms can be used to find structures in expression data. This work presents an...

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Detalles Bibliográficos
Autores principales: Valle, Filippo, Osella, Matteo, Caselle, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909787/
https://www.ncbi.nlm.nih.gov/pubmed/35267458
http://dx.doi.org/10.3390/cancers14051150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909787/
https://www.ncbi.nlm.nih.gov/pubmed/35267458
http://dx.doi.org/10.3390/cancers14051150

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