Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity

Junjie Su; Byung-Jun Yoon; Edward R. Dougherty

doi:10.1371/journal.pone.0008161

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Open Access

Peer-reviewed

Research Article

Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity

Junjie Su,

Affiliation Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America
⨯
Byung-Jun Yoon ,

* E-mail: bjyoon@ece.tamu.edu

Affiliation Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America
⨯
Edward R. Dougherty

Affiliations Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America, Computational Biology Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
⨯

Accurate and Reliable Cancer Classification Based on Probabilistic Inference of Pathway Activity

Junjie Su,
Byung-Jun Yoon,
Edward R. Dougherty

Published: December 7, 2009
https://doi.org/10.1371/journal.pone.0008161

About the Authors

Junjie Su

Affiliation Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America

Byung-Jun Yoon

* E-mail: bjyoon@ece.tamu.edu

Affiliation Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America

Edward R. Dougherty

Affiliations Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, United States of America, Computational Biology Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: JS BJY ERD. Performed the experiments: JS. Analyzed the data: JS BJY ERD. Wrote the paper: JS BJY ERD.

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Gene expression
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Breast cancer
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Phenotypes
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Linear discriminant analysis
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Metastasis
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Reproducibility
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Diagnostic medicine
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Microarrays
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