Title :
Exploration of leukemia gene regulatory networks using a systems biology approach
Author :
Dong Ling Tong ; Ball, Graham R.
Author_Institution :
John van Geest Cancer Res. Centre, Nottingham Trent Univ., Nottingham, UK
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.
Keywords :
cancer; genetics; patient diagnosis; biology approach; genetic interaction; hematopoietic disease; leukemia cancer; leukemia gene regulatory networks; leukemia progression; leukemia-associated markers; leukemia-related markers; multifactorial characteristics; patient diagnosis; systematic-level information; Biological system modeling; Cancer; Diseases; Inference algorithms; Proteins; Systems biology; Cytoscape; STRING; acute leukemia; artificial neural network inference algorithm; systems biology;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999250