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A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data
SIMPLE SUMMARY: Topic modeling was introduced to classify texts of natural language by inferring their topic structure from the frequency of words. This paper assumes that analogously the cancer subtype identity, which is crucial for the correct diagnosis and treatment plan, can be extracted from ge...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766023/ https://www.ncbi.nlm.nih.gov/pubmed/33339347 http://dx.doi.org/10.3390/cancers12123799 |