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Big Data for Cancer Research:

Big Data for Cancer Research: William C. Cho Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong. Citation: Cho. Big d ata for Cancer Research. Clinical Medicine Insights: Oncology Prior to publication the author has given signed confirmation of agreement to article 2015:9 135 –136 doi: 10.4137/CMO.s 38279. publication and compliance with all applicable ethical and legal requirements, including the accuracy of author and contributor information, disclosure of competing interests t YPE: e ditorial and funding sources, compliance with ethical requirements relating to human and animal study participants, and compliance with any copyright requirements of third parties. t his Fun Ding: a uthor discloses no external funding sources. journal is a member of the Committee on Publication e thics (COPe ). Com PEting i nt EREsts: Author discloses no potential conflicts of interest. Published by l ibertas a cademica. l earn more about this journal. CoRRE s Pon DEn CE: williamcscho@gmail.com Co PYRight: © the authors, publisher and licensee l ibertas a cademica l imited. t his is an open-access article distributed under the terms of the Creative Commons CC-By -n C 3.0 l icense. From the rise in data-mining and the flood of big data has On the other hand, there is a http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Clinical Medicine Insights: Oncology SAGE

Big Data for Cancer Research:

Clinical Medicine Insights: Oncology , Volume 9: 1 – Dec 30, 2015

Big Data for Cancer Research:

Clinical Medicine Insights: Oncology , Volume 9: 1 – Dec 30, 2015

Abstract

William C. Cho Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong. Citation: Cho. Big d ata for Cancer Research. Clinical Medicine Insights: Oncology Prior to publication the author has given signed confirmation of agreement to article 2015:9 135 –136 doi: 10.4137/CMO.s 38279. publication and compliance with all applicable ethical and legal requirements, including the accuracy of author and contributor information, disclosure of competing interests t YPE: e ditorial and funding sources, compliance with ethical requirements relating to human and animal study participants, and compliance with any copyright requirements of third parties. t his Fun Ding: a uthor discloses no external funding sources. journal is a member of the Committee on Publication e thics (COPe ). Com PEting i nt EREsts: Author discloses no potential conflicts of interest. Published by l ibertas a cademica. l earn more about this journal. CoRRE s Pon DEn CE: williamcscho@gmail.com Co PYRight: © the authors, publisher and licensee l ibertas a cademica l imited. t his is an open-access article distributed under the terms of the Creative Commons CC-By -n C 3.0 l icense. From the rise in data-mining and the flood of big data has On the other hand, there is a

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References (9)

Publisher
SAGE
Copyright
Copyright © 2022 by SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses
eISSN
1179-5549
DOI
10.4137/cmo.s38279
Publisher site
See Article on Publisher Site

Abstract

William C. Cho Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong. Citation: Cho. Big d ata for Cancer Research. Clinical Medicine Insights: Oncology Prior to publication the author has given signed confirmation of agreement to article 2015:9 135 –136 doi: 10.4137/CMO.s 38279. publication and compliance with all applicable ethical and legal requirements, including the accuracy of author and contributor information, disclosure of competing interests t YPE: e ditorial and funding sources, compliance with ethical requirements relating to human and animal study participants, and compliance with any copyright requirements of third parties. t his Fun Ding: a uthor discloses no external funding sources. journal is a member of the Committee on Publication e thics (COPe ). Com PEting i nt EREsts: Author discloses no potential conflicts of interest. Published by l ibertas a cademica. l earn more about this journal. CoRRE s Pon DEn CE: williamcscho@gmail.com Co PYRight: © the authors, publisher and licensee l ibertas a cademica l imited. t his is an open-access article distributed under the terms of the Creative Commons CC-By -n C 3.0 l icense. From the rise in data-mining and the flood of big data has On the other hand, there is a

Journal

Clinical Medicine Insights: OncologySAGE

Published: Dec 30, 2015

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