A multiple kernel learning algorithm for drug-target interaction prediction
about
Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.Prediction of post-translational modification sites using multiple kernel support vector machine.VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization.DrugECs: An Ensemble System with Feature Subspaces for Accurate Drug-Target Interaction Prediction.DDR: Efficient computational method to predict drug-target interactions using graph mining and machine learning approaches.MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA-disease association prediction.ksrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.A novel methodology on distributed representations of proteins using their interacting ligands.Learning with multiple pairwise kernels for drug bioactivity prediction.
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P2860
A multiple kernel learning algorithm for drug-target interaction prediction
description
2016 nî lūn-bûn
@nan
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
2016年论文
@zh
2016年论文
@zh-cn
name
A multiple kernel learning algorithm for drug-target interaction prediction
@ast
A multiple kernel learning algorithm for drug-target interaction prediction
@en
type
label
A multiple kernel learning algorithm for drug-target interaction prediction
@ast
A multiple kernel learning algorithm for drug-target interaction prediction
@en
prefLabel
A multiple kernel learning algorithm for drug-target interaction prediction
@ast
A multiple kernel learning algorithm for drug-target interaction prediction
@en
P2093
P2860
P1433
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A multiple kernel learning algorithm for drug-target interaction prediction
@en
P2093
André C A Nascimento
Ivan G Costa
Ricardo B C Prudêncio
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P2888
P356
10.1186/S12859-016-0890-3
P577
2016-01-22T00:00:00Z
P5875
P6179
1007894836