Fast rule-based bioactivity prediction using associative classification mining.
about
Discovering associations in biomedical datasets by link-based associative classifier (LAC)An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.Physicochemical characteristics of structurally determined metabolite-protein and drug-protein binding events with respect to binding specificity.Predicted Biological Activity of Purchasable Chemical Space.
P2860
Fast rule-based bioactivity prediction using associative classification mining.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Fast rule-based bioactivity prediction using associative classification mining.
@en
Fast rule-based bioactivity prediction using associative classification mining.
@nl
type
label
Fast rule-based bioactivity prediction using associative classification mining.
@en
Fast rule-based bioactivity prediction using associative classification mining.
@nl
prefLabel
Fast rule-based bioactivity prediction using associative classification mining.
@en
Fast rule-based bioactivity prediction using associative classification mining.
@nl
P2860
P356
P1476
Fast rule-based bioactivity prediction using associative classification mining.
@en
P2093
P2860
P2888
P356
10.1186/1758-2946-4-29
P577
2012-11-23T00:00:00Z
P5875
P6179
1046065906