A TWO-STAGE APPROACH FOR COMBINING GENE EXPRESSION AND MUTATION WITH CLINICAL DATA IMPROVES SURVIVAL PREDICTION IN MYELODYSPLASTIC SYNDROMES AND OVARIAN CANCER
Motivation: Many traditional clinical prognostic factors have been known for cancer for years, but usually provide poor survival prediction. Genomic information is more easily available now which offers opportunities to build more accurate prognostic models. The challenge is how to integrate them to...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Cifra Publishing House
2016-09-01
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Series: | Journal of Bioinformatics and Genomics |
Online Access: | http://journal-biogen.org/article/view/9 |