Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data

Authors

Sarah J. Spencer, Washington University School of Medicine in St. Louis
Damian Almiron Bonnin, Earlham College
Joseph O. Deasy, Washington University School of Medicine in St. Louis
Jeffrey D. Bradley, Washington University School of Medicine in St. LouisFollow
Issam El Naqa, Washington University School of Medicine in St. Louis

Journal

Journal of Biomedicine and Biotechnology

Publication Date

2009

Volume

2009

Inclusive Pages

Article ID 892863

Document Type

Open Access Publication

DOI

10.1155/2009/892863

Rights and Permissions

Sarah J. Spencer, Damian Almiron Bonnin, Joseph O. Deasy, Jeffrey D. Bradley, and Issam El Naqa, “Bioinformatics Methods for Learning Radiation-Induced Lung Inflammation from Heterogeneous Retrospective and Prospective Data,” Journal of Biomedicine and Biotechnology, vol. 2009, Article ID 892863, 14 pages, 2009. doi:10.1155/2009/892863

Recommended Citation

Spencer, Sarah J.; Bonnin, Damian Almiron; Deasy, Joseph O.; Bradley, Jeffrey D.; and El Naqa, Issam, "Bioinformatics methods for learning radiation-induced lung inflammation from heterogeneous retrospective and prospective data." Journal of Biomedicine and Biotechnology. 2009, Article ID 892863. (2009).
https://digitalcommons.wustl.edu/open_access_pubs/965