@inproceedings{9084a2c3daa94166a3d3f238f1848b8e,
title = "Outlier gene set analysis combined with top scoring pair provides robust biomarkers of pathway activity",
abstract = "Cancer is a disease driven by pathway activity, while useful biomarkers to predict outcome (prognostic markers) or determine treatment (treatment markers) rely on individual genes, proteins, or metabolites. We provide a novel approach that isolates pathways of interest by integrating outlier analysis and gene set analysis and couple it to the top-scoring pair algorithm to identify robust biomarkers. We demonstrate this methodology on pediatric acute myeloid leukemia (AML) data. We develop a biomarker in primary AML tumors, demonstrate robustness with an independent primary tumor data set, and show that the identified biomarkers also function well in relapsed AML tumors.",
author = "Ochs, {Michael F.} and Farrar, {Jason E.} and Michael Considine and Yingying Wei and Soheil Meschinchi and Arceci, {Robert J.}",
year = "2013",
doi = "10.1007/978-3-642-39159-0_5",
language = "English (US)",
isbn = "9783642391583",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "47--58",
booktitle = "Pattern Recognition in Bioinformatics - 8th IAPR International Conference, PRIB 2013, Proceedings",
note = "8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013 ; Conference date: 17-06-2013 Through 20-06-2013",
}