Extracting multi-function features for cancer genes
The causation of cancer often involves the joint deregulation of multiple biological processes. Thus, it is interesting to extract multi-function features of cancer genes and study their functional coordination involved in tumorigenesis. Here, based on Gene Ontology, we proposed a heuristics strateg...
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Published in | 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery Vol. 5; pp. 2195 - 2198 |
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Main Authors | , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2010
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Abstract | The causation of cancer often involves the joint deregulation of multiple biological processes. Thus, it is interesting to extract multi-function features of cancer genes and study their functional coordination involved in tumorigenesis. Here, based on Gene Ontology, we proposed a heuristics strategy to extract multi-function features which are significantly overrepresented with cancer genes. We showed that the extracted feature combinations can provide hints for studying the functional interplay roles of multi-function genes involved in tumorigenesis. Using protein-protein interaction data, we found that the pivot genes of the obtained functional feature combinations are likely to be cancer genes, and that their alternations may play important roles in simultaneously deregulating multiple functions and thus inducing cancer. |
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AbstractList | The causation of cancer often involves the joint deregulation of multiple biological processes. Thus, it is interesting to extract multi-function features of cancer genes and study their functional coordination involved in tumorigenesis. Here, based on Gene Ontology, we proposed a heuristics strategy to extract multi-function features which are significantly overrepresented with cancer genes. We showed that the extracted feature combinations can provide hints for studying the functional interplay roles of multi-function genes involved in tumorigenesis. Using protein-protein interaction data, we found that the pivot genes of the obtained functional feature combinations are likely to be cancer genes, and that their alternations may play important roles in simultaneously deregulating multiple functions and thus inducing cancer. |
Author | Wencai Ma Chenguang Wang Jiguang Xia Yuannv Zhang Xinwu Guo Yunyan Gu Zheng Guo |
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Snippet | The causation of cancer often involves the joint deregulation of multiple biological processes. Thus, it is interesting to extract multi-function features of... |
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SubjectTerms | Bioinformatics Cancer Diseases feature combination Feature extraction functional coordination gene function Gene Ontology Humans Proteins |
Title | Extracting multi-function features for cancer genes |
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