| Download | - View final version: Bioinformatics identification of drug gene modules: application to clear cell carcinoma of the ovary (PDF, 938 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1109/EMBC.2018.8512230 |
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| Author | Search for: Tchagang, Alain B.1 |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Conference | 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 18-21, 2018, Honolulu, HI, USA |
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| Abstract | Targeted therapy is a treatment that targets the cancer's specific genes, proteins, or the tissue environment that contributes to cancer growth and survival. Identification of therapeutics targets is a very challenging problem in bioinformatics. An integrative and iterative approach for the identification of drug-gene modules (i.e., groups of genes and drugs such that genes in the same module may regulate each other and are targets of some of the drugs in the same module) is developed. Application to clear cell carcinoma of the ovary data reveals several drug-gene modules and a target network that may play important roles in treating this disease. |
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| Publication date | 2018-10-29 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23004729 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | e9e93e6d-40a5-4851-a7fe-df388c864a69 |
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| Record created | 2018-12-13 |
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| Record modified | 2020-05-30 |
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