Molecule kernels: a descriptor- and alignment-free quantitative structure-activity relationship approach.
about
Comparison and enumeration of chemical graphsBayesian molecular design with a chemical language model.Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization.Support vector machines for drug discovery.Graph Kernels for Molecular Similarity.Fast rule-based bioactivity prediction using associative classification mining.Boltzmann-Enhanced Flexible Atom-Pair Kernel with Dynamic Dimension Reduction.DeepTox: Toxicity Prediction using Deep Learning
P2860
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P2860
Molecule kernels: a descriptor- and alignment-free quantitative structure-activity relationship approach.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Molecule kernels: a descriptor ...... ctivity relationship approach.
@en
Molecule kernels: a descriptor ...... ctivity relationship approach.
@nl
type
label
Molecule kernels: a descriptor ...... ctivity relationship approach.
@en
Molecule kernels: a descriptor ...... ctivity relationship approach.
@nl
prefLabel
Molecule kernels: a descriptor ...... ctivity relationship approach.
@en
Molecule kernels: a descriptor ...... ctivity relationship approach.
@nl
P2093
P356
P1476
Molecule kernels: a descriptor ...... ctivity relationship approach.
@en
P2093
Brijnesh J Jain
Johannes A Mohr
Klaus Obermayer
P304
P356
10.1021/CI800144Y
P577
2008-09-04T00:00:00Z