Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data

Open Access

Peer-reviewed

Research Article

Filippo Trentini,

Affiliation University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy
⨯
Yuan Ji ,

* E-mail: jiyuan@uchicago.edu

Affiliation Center for Clinical and Research Informatics, NorthShore University HealthSystem, Evanston, Illinois, United States of America
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Takayuki Iwamoto,

Affiliation Department of Breast and Endocrine Surgery, Okayama University Hospital, Okayama, Japan
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Yuan Qi,

Affiliation Division of Quantitative Sciences, MD Anderson Cancer Center, Houston, Texas, United States of America
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Lajos Pusztai,

Affiliation Chief of Breast Medical Oncology, Yale School of Medicine, New Haven, Connecticut, United States of America
⨯
Peter Müller

Affiliation Department of Mathematics, University of Texas, Austin, Texas, United States of America
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Gene expression
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Breast cancer
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Microarrays
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DNA
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Copy number variation
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Biochemical simulations
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Genomics
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Cancer treatment
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