IEEE/ACM Transactions on Computational Biology and Bioinformatics

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) is a bimonthly journal that publishes archival research results related to the algorithmic, mathematical, statistical, and computational methods that are central in bioinformatics and computational biology. Read the full scope of TCBB


TCBB seeks editor in chief for 2017-2018 term

The IEEE Computer Society, IEEE Engineering in Medicine and Biology Society, and Association for Computing Machinery seek applicants for the position of editor in chief of the IEEE Transactions on Computational Biology and Bioinformatics, serving a two-year term starting 1 January 2017, renewable once. Please view the EIC Search Ad for more information or contact Kimberly Sperka, [email protected]. Extended Deadline: 1 April 2016


IEEE Transactions on Computational Biology and Bioinformatics (TCBB) moved to the OnlinePlus publication model starting with 2015 issues!


From the January/February 2016 Issue

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks

By Su-Ping Deng, Lin Zhu, and De-Shuang Huang

Featured article thumbnail imageCervical cancer is the third most common malignancy in women worldwide. It remains a leading cause of cancer-related death for women in developing countries. In order to contribute to the treatment of the cervical cancer, in our work, we try to find a few key genes resulting in the cervical cancer. Employing functions of several bioinformatics tools, we selected 143 differentially expressed genes (DEGs) associated with the cervical cancer. The results of bioinformatics analysis show that these DEGs play important roles in the development of cervical cancer. Through comparing two differential co-expression networks (DCNs) at two different states, we found a common sub-network and two differential sub-networks as well as some hub genes in three sub-networks. Moreover, some of the hub genes have been reported to be related to the cervical cancer. Those hub genes were analyzed from Gene Ontology function enrichment, pathway enrichment and protein binding three aspects. The results can help us understand the development of the cervical cancer and guide further experiments about the cervical cancer.

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TCBB is a joint publication of the IEEE Computer Society, Association for Computing Machinery, IEEE Computational Intelligence Society, and the IEEE Engineering in Medicine and Biology Society.

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