A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.
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CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forestsA Robust and Efficient Feature Selection Algorithm for Microarray Data.Robust gene selection methods using weighting schemes for microarray data analysisHybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification.Gene selection for microarray data classification via subspace learning and manifold regularization.Feature selection for high-dimensional temporal data.
P2860
A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A hybrid gene selection approa ...... a and ant colony optimization.
@ast
A hybrid gene selection approa ...... a and ant colony optimization.
@en
type
label
A hybrid gene selection approa ...... a and ant colony optimization.
@ast
A hybrid gene selection approa ...... a and ant colony optimization.
@en
prefLabel
A hybrid gene selection approa ...... a and ant colony optimization.
@ast
A hybrid gene selection approa ...... a and ant colony optimization.
@en
P2093
P1433
P1476
A hybrid gene selection approa ...... a and ant colony optimization.
@en
P2093
Fatemeh Vafaee Sharbaf
Mohammad Hossein Moattar
Sara Mosafer
P304
P356
10.1016/J.YGENO.2016.05.001
P577
2016-05-03T00:00:00Z