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McTwo: a two-step feature selection algorithm based on maximal information coefficient
BACKGROUND: High-throughput bio-OMIC technologies are producing high-dimension data from bio-samples at an ever increasing rate, whereas the training sample number in a traditional experiment remains small due to various difficulties. This “large p, small n” paradigm in the area of biomedical “big d...
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| Publicado en: | BMC Bioinformatics |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4804474/ https://ncbi.nlm.nih.gov/pubmed/27006077 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0990-0 |
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