Big genomics and clinical data analytics strategies for precision cancer prognosis

@inproceedings{Ow2016BigGA,
  title={Big genomics and clinical data analytics strategies for precision cancer prognosis},
  author={Ghim Siong Ow and Vladimir A. Kuznetsov},
  booktitle={Scientific reports},
  year={2016}
}
The field of personalized and precise medicine in the era of big data analytics is growing rapidly. Previously, we proposed our model of patient classification termed Prognostic Signature Vector Matching (PSVM) and identified a 37 variable signature comprising 36 let-7b associated prognostic significant mRNAs and the age risk factor that stratified large high-grade serous ovarian cancer patient cohorts into three survival-significant risk groups. Here, we investigated the predictive performance… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 19 times over the past 90 days. VIEW TWEETS

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Similar Papers

Loading similar papers…