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...

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Bibliographic Details
Main Authors: Yan Li, Xinyan Zhang, Tomi Akinyemiju, Akinyemi I. Ojesina, Jeff M. Szychowski, Nianjun Liu, Bo Xu, Nengjun Yi
Format: Article
Language:English
Published: Cifra Publishing House 2016-09-01
Series:Journal of Bioinformatics and Genomics
Online Access:http://journal-biogen.org/article/view/9