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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Pubblicato in:BMC Bioinformatics
Autori principali: Ge, Ruiquan, Zhou, Manli, Luo, Youxi, Meng, Qinghan, Mai, Guoqin, Ma, Dongli, Wang, Guoqing, Zhou, Fengfeng
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2016
Soggetti:
Methodology Article
Accesso online: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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