Identifying predictive markers for personalized treatment selection.
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G9A performs important roles in the progression of breast cancer through upregulating its targets.Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma.Pathway aggregation for survival prediction via multiple kernel learning.
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Identifying predictive markers for personalized treatment selection.
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article científic
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article scientifique
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bilimsel makale
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scientific article published on 21 March 2016
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vetenskaplig artikel
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Identifying predictive markers for personalized treatment selection.
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Identifying predictive markers for personalized treatment selection.
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Identifying predictive markers for personalized treatment selection.
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Identifying predictive markers for personalized treatment selection.
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Identifying predictive markers for personalized treatment selection.
@en
Identifying predictive markers for personalized treatment selection.
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P2860
P356
P1433
P1476
Identifying predictive markers for personalized treatment selection.
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P2093
Tianxi Cai
Yuanyuan Shen
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P304
P356
10.1111/BIOM.12511
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P577
2016-03-21T00:00:00Z