Beta process based adaptive learning for immunosignature microarray feature identification

Anna Malin; Narayan Kovvali; Antonia Papandreou-Suppappola; Jun Jason Zhang; Stephen Johnston; Phillip Stafford

doi:10.1109/ACSSC.2012.6489312

Beta process based adaptive learning for immunosignature microarray feature identification

Anna Malin, Narayan Kovvali, Antonia Papandreou-Suppappola, Jun Jason Zhang, Stephen Johnston, Phillip Stafford

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

We propose a latent feature model for immunosignature random peptide microarray data using beta process factor analysis to identify relationships between patients and infectious agents. The method uses Bayesian nonparametric adaptive learning techniques that allow for further classification if additional patient data is received, and new relationships between patients and disease states are obtained. In addition to feature discovery, this methodology can also detect biothreat agents on the fly. Using experimental immunosignature microarray data, we demonstrate the identification and classification of underlying relationships between patients with different disease states.

Original language	English (US)
Title of host publication	Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
Pages	1651-1655
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2012.6489312
State	Published - Dec 1 2012
Event	46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 - Pacific Grove, CA, United States Duration: Nov 4 2012 → Nov 7 2012

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
Country/Territory	United States
City	Pacific Grove, CA
Period	11/4/12 → 11/7/12

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.2012.6489312

Cite this

Malin, A., Kovvali, N., Papandreou-Suppappola, A., Zhang, J. J., Johnston, S., & Stafford, P. (2012). Beta process based adaptive learning for immunosignature microarray feature identification. In Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 (pp. 1651-1655). [6489312] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2012.6489312

Beta process based adaptive learning for immunosignature microarray feature identification. / Malin, Anna; Kovvali, Narayan; Papandreou-Suppappola, Antonia et al.

Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012. 2012. p. 1651-1655 6489312 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Malin, A, Kovvali, N, Papandreou-Suppappola, A, Zhang, JJ, Johnston, S & Stafford, P 2012, Beta process based adaptive learning for immunosignature microarray feature identification. in Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012., 6489312, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1651-1655, 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012, Pacific Grove, CA, United States, 11/4/12. https://doi.org/10.1109/ACSSC.2012.6489312

Malin A, Kovvali N, Papandreou-Suppappola A, Zhang JJ, Johnston S, Stafford P. Beta process based adaptive learning for immunosignature microarray feature identification. In Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012. 2012. p. 1651-1655. 6489312. (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2012.6489312

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Beta process based adaptive learning for immunosignature microarray feature identification

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