Abstract

As recently discovered, a comprehensive profiling of antibodies in a patient's blood can be obtained using random-sequence peptides on microarrays and analyzed for medical diagnosis. In this paper, we propose a novel adaptive learning methodology for biothreat detection and classification, which extracts and models appropriate stochastic features from such immunosignatures. The technique is based on the use of Dirichlet process mixture models to adaptively cluster the microarray measurements in feature space. This learning-while- classifying strategy provides the capability of adaptively detecting new biothreat agents on the fly. We demonstrate the utility of the proposed method by classifying diseases using real experimental peptide microarray data.

Original languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
Pages1883-1887
Number of pages5
DOIs
StatePublished - 2011
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
CountryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

Fingerprint

Microarrays
Peptides
Stochastic models
Antibodies
Blood

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Malin, A., Zhang, J. J., Chakraborty, B., Kovvali, N., Papandreou-Suppappola, A., Johnston, S., & Stafford, P. (2011). Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 1883-1887). [6190350] https://doi.org/10.1109/ACSSC.2011.6190350

Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification. / Malin, Anna; Zhang, Jun Jason; Chakraborty, Bhavana; Kovvali, Narayan; Papandreou-Suppappola, Antonia; Johnston, Stephen; Stafford, Phillip.

Conference Record - Asilomar Conference on Signals, Systems and Computers. 2011. p. 1883-1887 6190350.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Malin, A, Zhang, JJ, Chakraborty, B, Kovvali, N, Papandreou-Suppappola, A, Johnston, S & Stafford, P 2011, Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification. in Conference Record - Asilomar Conference on Signals, Systems and Computers., 6190350, pp. 1883-1887, 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011, Pacific Grove, CA, United States, 11/6/11. https://doi.org/10.1109/ACSSC.2011.6190350
Malin A, Zhang JJ, Chakraborty B, Kovvali N, Papandreou-Suppappola A, Johnston S et al. Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification. In Conference Record - Asilomar Conference on Signals, Systems and Computers. 2011. p. 1883-1887. 6190350 https://doi.org/10.1109/ACSSC.2011.6190350
Malin, Anna ; Zhang, Jun Jason ; Chakraborty, Bhavana ; Kovvali, Narayan ; Papandreou-Suppappola, Antonia ; Johnston, Stephen ; Stafford, Phillip. / Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification. Conference Record - Asilomar Conference on Signals, Systems and Computers. 2011. pp. 1883-1887
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