FacPad: Bayesian sparse factor modeling for the inference of pathways responsive to drug treatment.
about
BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database.Drug target inference through pathway analysis of genomics data.ASSIGN: context-specific genomic profiling of multiple heterogeneous biological pathwaysIdentifying drug-pathway association pairs based on L1L2,1-integrative penalized matrix decomposition.Inferring Association between Compound and Pathway with an Improved Ensemble Learning Method.Pathway-based Bayesian inference of drug-disease interactions.Identifying drug-pathway association pairs based on L2,1-integrative penalized matrix decomposition.Prediction of drug-pathway interaction pairs with a disease-combined LSA-PU-KNN method.
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P2860
FacPad: Bayesian sparse factor modeling for the inference of pathways responsive to drug treatment.
description
2012 nî lūn-bûn
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2012年の論文
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name
FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@ast
FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@en
type
label
FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@ast
FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@en
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FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@ast
FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@en
P2860
P356
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FacPad: Bayesian sparse factor ...... responsive to drug treatment.
@en
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P2860
P304
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10.1093/BIOINFORMATICS/BTS502
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P577
2012-08-24T00:00:00Z