@inproceedings{247b0507fc85470db593104cf2589a7e,
title = "Predicting survial by cancer pathway gene expression profiles in the TCGA",
abstract = "Personalized medicine is usually based on known subcategories of a disease for better treatment. Identifying biomarkers that predict disease subtypes has been an important topic in biom{\'e}dical sciences. There is a controversy as to the optimal number of genes as an input of a feature selection algorithm. In this paper, we investigate the feasibility to use genes pre-selected by biological knowledge rather than all available genes as an input for a feature selection algorithm predicting survival in the glioblastoma of the The Cancer Genome Atlas (TCGA). We discuss the advantage and disadvantage of this approach.",
keywords = "brain, cancer, gene expression, survival",
author = "Hyunsoo Kim and Markus Bredel",
year = "2012",
doi = "10.1109/BIBMW.2012.6470256",
language = "English (US)",
isbn = "9781467327466",
series = "Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012",
pages = "872--875",
booktitle = "Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012",
note = "2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 ; Conference date: 04-10-2012 Through 07-10-2012",
}
