Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets
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High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm.QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations.CPANNatNIC software for counter-propagation neural network to assist in read-across.Scaffold-Hopping from Synthetic Drugs by Holistic Molecular Representation
P2860
Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets
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2016 nî lūn-bûn
@nan
2016 թուականին հրատարակուած գիտական յօդուած
@hyw
2016 թվականին 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
Examining the predictive accur ...... ications on benchmark datasets
@ast
Examining the predictive accur ...... ications on benchmark datasets
@en
Examining the predictive accur ...... ications on benchmark datasets
@nl
type
label
Examining the predictive accur ...... ications on benchmark datasets
@ast
Examining the predictive accur ...... ications on benchmark datasets
@en
Examining the predictive accur ...... ications on benchmark datasets
@nl
prefLabel
Examining the predictive accur ...... ications on benchmark datasets
@ast
Examining the predictive accur ...... ications on benchmark datasets
@en
Examining the predictive accur ...... ications on benchmark datasets
@nl
P2860
P50
P1476
Examining the predictive accur ...... ications on benchmark datasets
@en
P2093
Lisset Cabrera-Leyva
Mario Pupo-Meriño
P2860
P2888
P356
10.1186/S13321-016-0122-X
P577
2016-01-01T00:00:00Z
P5875
P6179
1052090632