Sorting Five Human Tumor Types Reveals Specific Biomarkers and Background Classification Genes

We applied two state-of-the-art, knowledge independent data-mining methods – Dynamic Quantum Clustering (DQC) and t-Distributed Stochastic Neighbor Embedding (t-SNE) – to data from The Cancer Genome Atlas (TCGA). We showed that the RNA expression patterns for a mixture of 2,016 samples from five tum...

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Detalles Bibliográficos
Autores principales: Roche, Kimberly E., Weinstein, Marvin, Dunwoodie, Leland J., Poehlman, William L., Feltus, Frank A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970138/
https://www.ncbi.nlm.nih.gov/pubmed/29802335
http://dx.doi.org/10.1038/s41598-018-26310-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970138/
https://www.ncbi.nlm.nih.gov/pubmed/29802335
http://dx.doi.org/10.1038/s41598-018-26310-x

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