Hybrid feature selection algorithm mRMR-ICA for cancer classification from microarray gene expression data

S Wang, W Kong, J Deng, S Gao… - … chemistry & high …, 2018 - ingentaconnect.com
Aims and Objective: Redundant information of microarray gene expression data makes it
difficult for cancer classification. Hence, it is very important for researchers to find …
被引用次数：17 相关文章

Hybrid Feature Selection Algorithm mRMR-ICA for Cancer Classification from Microarray Gene Expression Data

S Wang, W Kong, J Deng, S Gao… - … chemistry & high …, 2018 - pubmed.ncbi.nlm.nih.gov
Aims and objective Redundant information of microarray gene expression data makes it
difficult for cancer classification. Hence, it is very important for researchers to find …

Hybrid Feature Selection Algorithm mRMR-ICA for Cancer Classification from Microarray Gene Expression Data.

S Wang, W Kong, J Deng, S Gao… - … Chemistry & High …, 2018 - europepmc.org
AIMS AND OBJECTIVE: Redundant information of microarray gene expression data makes
it difficult for cancer classification. Hence, it is very important for researchers to find …

Hybrid feature selection algorithm mRMR-ICA for cancer classification from microarray gene expression data

S Wang, W Kong, J Deng, S Gao… - … Chemistry and High …, 2018 - u-toyama.elsevierpure.com
Aims and Objective: Redundant information of microarray gene expression data makes it
difficult for cancer classification. Hence, it is very important for researchers to find …