Restricted Boltzmann Machines for Classification of Hepatocellular Carcinoma

Multiple antigen miniarrays can provide accurate tools for cancer detection and diagnosis. These miniarrays can be validated by examining their operating characteristics in classifying individuals as either cancer patients or normal (non-cancer) subjects. We describe the use of restricted Boltzmann...

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Bibliographic Details
Published inComputational Biology Journal Vol. 2014; no. 2014; pp. 1 - 5
Main Authors Koziol, James A., Tan, Eng M., Dai, Liping, Ren, Pengfei, Zhang, Jian-Ying
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Puplishing Corporation 14.04.2014
Hindawi Publishing Corporation
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ISSN2314-4165
2314-4173
DOI10.1155/2014/418069

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Summary:Multiple antigen miniarrays can provide accurate tools for cancer detection and diagnosis. These miniarrays can be validated by examining their operating characteristics in classifying individuals as either cancer patients or normal (non-cancer) subjects. We describe the use of restricted Boltzmann machines for this classification problem, relative to diagnosis of hepatocellular carcinoma. In this setting, we find that its operating characteristics are similar to a logistic regression standard and suggest that restricted Boltzmann machines merit further consideration for classification problems.
ISSN:2314-4165
2314-4173
DOI:10.1155/2014/418069