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Corrigendum to ‘ Databases and Web Tools for Cancer Genomics Study ’ [GPB 137 (2015) – GPB 13/1 (46 – 50)]

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The future of cancer researchIn the era of big data, one of the major challenges is to make full use of multi-dimensional data from heterogeneous sources, including different omics data and a variety of medical data from bedside. The success in the battle against cancer will largely depend on population-sized information from both genomic and clinical resources, advanced algorithms for data mining, open and sharing circumstances.
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f0010: The future of cancer researchIn the era of big data, one of the major challenges is to make full use of multi-dimensional data from heterogeneous sources, including different omics data and a variety of medical data from bedside. The success in the battle against cancer will largely depend on population-sized information from both genomic and clinical resources, advanced algorithms for data mining, open and sharing circumstances.

Mentions: The authors regret that there was a typo in Figure 1 published in Issue 1, 2015. In the figure, “Integeration” should be corrected to “Integration”. The correct Figure 1 is shown below. The authors would like to apologize for any inconvenience caused.


Corrigendum to ‘ Databases and Web Tools for Cancer Genomics Study ’ [GPB 137 (2015) – GPB 13/1 (46 – 50)]
The future of cancer researchIn the era of big data, one of the major challenges is to make full use of multi-dimensional data from heterogeneous sources, including different omics data and a variety of medical data from bedside. The success in the battle against cancer will largely depend on population-sized information from both genomic and clinical resources, advanced algorithms for data mining, open and sharing circumstances.
© Copyright Policy - CC BY-NC-ND
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4563213&req=5

f0010: The future of cancer researchIn the era of big data, one of the major challenges is to make full use of multi-dimensional data from heterogeneous sources, including different omics data and a variety of medical data from bedside. The success in the battle against cancer will largely depend on population-sized information from both genomic and clinical resources, advanced algorithms for data mining, open and sharing circumstances.
Mentions: The authors regret that there was a typo in Figure 1 published in Issue 1, 2015. In the figure, “Integeration” should be corrected to “Integration”. The correct Figure 1 is shown below. The authors would like to apologize for any inconvenience caused.

View Article: PubMed Central

No MeSH data available.


Related in: MedlinePlus