Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity-Reference-Cited by-同舟云学术

Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity

Published:2017-07-07 Issue:34 Volume:8 Page:57121-57133
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Dannenfelser Ruth¹²,Nome Marianne³⁴,Tahiri Andliena³⁴,Ursini-Siegel Josie⁵,Vollan Hans Kristian Moen⁴⁶⁷,Haakensen Vilde D.⁷,Helland Åslaug⁸,Naume Bjørn⁸,Caldas Carlos⁶,Børresen-Dale Anne-Lise⁴⁷,Kristensen Vessela N.³⁴⁷,Troyanskaya Olga G.¹²⁹

Affiliation:

1. Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America

2. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America

3. Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway

4. Department of Clinical Molecular Oncology, Division of Medicine, Akershus University Hospital, Ahus, Norway

5. Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada

6. Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom

7. Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway

8. Department of Oncology, Division for Surgery, Cancer, and Transplantation, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway

9. Flatiron Institute, Simons Foundation, New York, New York, United States of America

Publisher

Impact Journals, LLC

Subject

Oncology

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