Identification of gene-environment interactions in cancer studies using penalization.
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Integrative Analysis of "-Omics" Data Using Penalty Functions.Integrative analysis of gene-environment interactions under a multi-response partially linear varying coefficient modelA screening-testing approach for detecting gene-environment interactions using sequential penalized and unpenalized multiple logistic regressionA penalized robust method for identifying gene-environment interactions.Identifying gene-environment and gene-gene interactions using a progressive penalization approachIntegrating multidimensional omics data for cancer outcome.A penalized robust semiparametric approach for gene-environment interactionsAn updated meta-analysis of 37 case-control studies on the association between NFKB1 -94ins/del ATTG promoter polymorphism and cancer susceptibility.Natural variation in a single amino acid substitution underlies physiological responses to topoisomerase II poisons.Accommodating missingness in environmental measurements in gene-environment interaction analysis.Natural diversity facilitates the discovery of conserved chemotherapeutic response mechanisms.Identifying gene-gene interactions using penalized tensor regression.Dissecting gene-environment interactions: A penalized robust approach accounting for hierarchical structures.
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P2860
Identification of gene-environment interactions in cancer studies using penalization.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 29 August 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Identification of gene-environment interactions in cancer studies using penalization.
@en
Identification of gene-environment interactions in cancer studies using penalization.
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type
label
Identification of gene-environment interactions in cancer studies using penalization.
@en
Identification of gene-environment interactions in cancer studies using penalization.
@nl
prefLabel
Identification of gene-environment interactions in cancer studies using penalization.
@en
Identification of gene-environment interactions in cancer studies using penalization.
@nl
P2093
P2860
P50
P1433
P1476
Identification of gene-environment interactions in cancer studies using penalization
@en
P2093
Shuangge Ma
Tongzhang Zheng
Yawei Zhang
P2860
P304
P356
10.1016/J.YGENO.2013.08.006
P577
2013-08-29T00:00:00Z