Erratum: Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups [Breast Cancer Research (2016) 18, 74] doi:10.1186/s13058-016-0724-2

Dvir Netanely; Ayelet Avraham; Adit Ben-Baruch; Ella Evron; Ron Shamir

doi:10.1186/s13058-016-0775-4

Erratum: Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups [Breast Cancer Research (2016) 18, 74] doi:10.1186/s13058-016-0724-2

Dvir Netanely, Ayelet Avraham, Adit Ben-Baruch, Ella Evron, Ron Shamir

Tel Aviv University

Research output: Contribution to journal › Article › peer-review

Abstract

After publication of this article [1], the authors requested to add an official acknowledgement for using the TCGA Breast Cancer dataset in their article. The following information has therefore been added to the Acknowledgements section: "The results published here are based upon data generated by The Cancer Genome Atlas managed by the NCI and NHGRI. Information about TCGA can be found at http://cancergenome.nih.gov". The amended Acknowledgements section has been included in this erratum accordingly.

Original language	English
Article number	117
Journal	Breast Cancer Research
Volume	18
Issue number	1
DOIs	https://doi.org/10.1186/s13058-016-0775-4
State	Published - 28 Nov 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Oncology
Cancer Research

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10.1186/s13058-016-0775-4

Cite this

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title = "Erratum: Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups [Breast Cancer Research (2016) 18, 74] doi:10.1186/s13058-016-0724-2",

abstract = "After publication of this article [1], the authors requested to add an official acknowledgement for using the TCGA Breast Cancer dataset in their article. The following information has therefore been added to the Acknowledgements section: {"}The results published here are based upon data generated by The Cancer Genome Atlas managed by the NCI and NHGRI. Information about TCGA can be found at http://cancergenome.nih.gov{"}. The amended Acknowledgements section has been included in this erratum accordingly.",

author = "Dvir Netanely and Ayelet Avraham and Adit Ben-Baruch and Ella Evron and Ron Shamir",

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year = "2016",

month = nov,

day = "28",

doi = "10.1186/s13058-016-0775-4",

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Erratum: Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups [Breast Cancer Research (2016) 18, 74] doi:10.1186/s13058-016-0724-2. / Netanely, Dvir; Avraham, Ayelet; Ben-Baruch, Adit et al.
In: Breast Cancer Research, Vol. 18, No. 1, 117, 28.11.2016.

Research output: Contribution to journal › Article › peer-review

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AU - Evron, Ella

AU - Shamir, Ron

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Y1 - 2016/11/28

N2 - After publication of this article [1], the authors requested to add an official acknowledgement for using the TCGA Breast Cancer dataset in their article. The following information has therefore been added to the Acknowledgements section: "The results published here are based upon data generated by The Cancer Genome Atlas managed by the NCI and NHGRI. Information about TCGA can be found at http://cancergenome.nih.gov". The amended Acknowledgements section has been included in this erratum accordingly.

AB - After publication of this article [1], the authors requested to add an official acknowledgement for using the TCGA Breast Cancer dataset in their article. The following information has therefore been added to the Acknowledgements section: "The results published here are based upon data generated by The Cancer Genome Atlas managed by the NCI and NHGRI. Information about TCGA can be found at http://cancergenome.nih.gov". The amended Acknowledgements section has been included in this erratum accordingly.

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Erratum: Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups [Breast Cancer Research (2016) 18, 74] doi:10.1186/s13058-016-0724-2

Abstract

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All Science Journal Classification (ASJC) codes

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