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Research Article

Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment

  • Wei Zhang,

    Affiliation: Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America

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  • Takayo Ota,

    Affiliation: Department of Laboratory Medicine and Experimental Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America

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  • Viji Shridhar,

    Affiliation: Department of Laboratory Medicine and Experimental Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America

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  • Jeremy Chien,

    Affiliation: Department of Laboratory Medicine and Experimental Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America

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  • Baolin Wu,

    Affiliation: Division of Biostatistics, School of Public Health, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America

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  • Rui Kuang mail

    kuang@cs.umn.edu

    Affiliation: Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America

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  • Published: March 21, 2013
  • DOI: 10.1371/journal.pcbi.1002975

Reader Comments (2)

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Ackownledgement

Posted by ruikuang on 28 Jun 2013 at 19:55 GMT

The results published on [1] are in part based upon data generated by The Cancer Genome Atlas established by the NCI and NHGRI. Information about TCGA and the investigators and institutions who constitute the TCGA research network can be found at http://cancergenome.nih.g.... The dbGaP accession number to the specific version of the TCGA dataset is phs000178.v8.p7.

No competing interests declared.

RE: Ackownledgement

ruikuang replied to ruikuang on 28 Jun 2013 at 19:56 GMT

[1] Zhang W, Ota T, Shridhar V, Chien J, Wu B, et al. (2013) Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment. PLoS Comput Biol 9(3): e1002975. doi:10.1371/journal.pcbi.1002975

No competing interests declared.