I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms.

TitleI-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms.
Publication TypeJournal Article
Year of Publication2019
AuthorsWong, Kin Yau, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Dan-Yu Lin, and Charles M. Perou
JournalGenome Biol
Volume20
Issue1
Pagination52
Date Published2019 03 07
ISSN1474-760X
KeywordsGene Expression Profiling, Gene Expression Regulation, Neoplastic, Gene Regulatory Networks, Genomics, Humans, Models, Statistical, Neoplasms, Prognosis, Software, Survival Rate
Abstract

We propose a statistical boosting method, termed I-Boost, to integrate multiple types of high-dimensional genomics data with clinical data for predicting survival time. I-Boost provides substantially higher prediction accuracy than existing methods. By applying I-Boost to The Cancer Genome Atlas, we show that the integration of multiple genomics platforms with clinical variables improves the prediction of survival time over the use of clinical variables alone; gene expression values are typically more prognostic of survival time than other genomics data types; and gene modules/signatures are at least as prognostic as the collection of individual gene expression data.

DOI10.1186/s13059-019-1640-4
Alternate JournalGenome Biol
Original PublicationI-Boost: An integrative boosting approach for predicting survival time with multiple genomics platforms.
PubMed ID30845957
PubMed Central IDPMC6404283
Grant ListP30 ES010126 / ES / NIEHS NIH HHS / United States
R01GM047845 / GM / NIGMS NIH HHS / United States
R01 HG009974 / HG / NHGRI NIH HHS / United States
P50-CA58223-09A1 / CA / NCI NIH HHS / United States
R01CA148761 / CA / NCI NIH HHS / United States
R01 CA148761 / CA / NCI NIH HHS / United States
P50 CA058223 / CA / NCI NIH HHS / United States
R01 GM047845 / GM / NIGMS NIH HHS / United States
R01 HG009125 / HG / NHGRI NIH HHS / United States
P01CA142538 / CA / NCI NIH HHS / United States
P01 CA142538 / CA / NCI NIH HHS / United States
R01HG009974 / HG / NHGRI NIH HHS / United States
Project: