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Detecting B-cell lymphomas dysregulation modules based on molecular interaction network

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2 Author(s)
Fu-Yan Hu ; Dept. of Math., Shanghai Univ., Shanghai, China ; Xing-Ming Zhao

Identifying dysregulation modules for complex diseases, such as B-cell lymphomas, can provide insights into the mechanisms of diseases and help to identify novel drug targets. In this work, based on molecular interaction network, we applied a network flow model to identify the dysregulation modules for three subtypes of non-Hodgkin's lymphomas, including Burkitt's lymphoma (BL), follicular lymphoma (FL), and mantle cell lymphoma (MCL). In our identified dysregulation modules, there are multiple genes that were reported in literature to be related to B-cell lymphomas, which demonstrate that our presented method is really effective for identifying dysregulation modules related to diseases.

Published in:

Systems Biology (ISB), 2011 IEEE International Conference on

Date of Conference:

2-4 Sept. 2011