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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong Ling Tong Ball, G.R. |
| Copyright Year | 2014 |
| Description | Author affiliation: John van Geest Cancer Res. Centre, Nottingham Trent Univ., Nottingham, UK (Dong Ling Tong; Ball, G.R.) |
| Abstract | Despite extensive studies in cytogenetic and mutations in leukemia cancer, new diagnoses were detected each year. This is due to multifactorial characteristic of hematopoietic disease and a lack of systematic-level information on genetic interaction and pathways between markers to understand the development and progression of leukemia. Thus, this study aims to sought a systems biology approach to infer gene regulatory networks of leukemia-related markers. Results demonstrated the effectiveness of a systems biology approach to simplify complex genetic interactions without losing important biological information of the genes. Key markers that inter-connected other leukemia-associated markers were identified. |
| Starting Page | 68 |
| Ending Page | 73 |
| File Size | 1007325 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999250 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins systems biology Cytoscape Biological system modeling Systems biology artificial neural network inference algorithm acute leukemia STRING Inference algorithms Cancer Diseases |
| Content Type | Text |
| Resource Type | Article |
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