Analysis and Prognosis of Cancer with Big Data Analytics

Abstract

Data Standards in cancer research have been evolving considerably. Technical Standards and data administration are the requirements of Diagnosis and Prognosis with enormous challenges. Cancer, a deadly disease can be analyzed with the innumerable genomic data and ethical analysis with big data functionalities as its crux. Normally the exome data for analysis is generated by NGS technologies. A single Cancer patient’s exome data ranges from 10 Gigabytes to 15 Gigabytes. This largest range of Omics data can only be analyzed by Big Data computational models.

Authors and Affiliations

Manju. K. K, Mrs. Srinitya. G

Keywords

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  • EP ID EP21639
  • DOI -
  • Views 425
  • Downloads 18

How To Cite

Manju. K. K, Mrs. Srinitya. G (2016). Analysis and Prognosis of Cancer with Big Data Analytics. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(2), -. https://europub.co.uk/articles/-A-21639