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SRIQ clustering: A fusion of Random Forest, QT clustering, and KNN concepts
Gene expression profiling together with unsupervised analysis methods, typically clustering methods, has been used extensively in cancer research to unravel, e.g., new molecular subtypes that hold promise of disease refinement that may ultimately benefit patients. However, many of the commonly used...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010551/ https://www.ncbi.nlm.nih.gov/pubmed/35465158 http://dx.doi.org/10.1016/j.csbj.2022.03.036 |