Variable selection method for the identification of epistatic models.
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Advantages of Synthetic Noise and Machine Learning for Analyzing Radioecological Data SetsGene-Gene Interaction Among WNT Genes for Oral Cleft in Trios.Using Linkage Analysis to Detect Gene-Gene Interactions. 2. Improved Reliability and Extension to More-Complex Models.r2VIM: A new variable selection method for random forests in genome-wide association studies.
P2860
Variable selection method for the identification of epistatic models.
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2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Variable selection method for the identification of epistatic models.
@en
type
label
Variable selection method for the identification of epistatic models.
@en
prefLabel
Variable selection method for the identification of epistatic models.
@en
P2093
P2860
P1476
Variable selection method for the identification of epistatic models.
@en
P2093
Abhijit Dasgupta
Emily Rose Holzinger
James Malley
Silke Szymczak
P2860
P304
P577
2015-01-01T00:00:00Z