HBKU DEVELOPS ALGORITHM FOR BRAIN CANCER MARKERS
Scientists from the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University (HBKU), have developed a new algorithm that can identify driver genes of several types of gliomas, the most common and aggressive forms of primary brain tumours.
The QCRI scientists, including Dr Raghvendra Mall, Dr Halima Bensmail and Khalid Kunji, built a machine-learning algorithm that can identify the main regulators of separate brain tumours.
“The algorithm outperforms state-of-theart methods for genome-wide gene regulatory network inference by incorporating prior biological knowledge and regularisation to prune false positives,” said Dr Mall.
Knowledge of the purpose of these driver genes and the status of these cancer subtypes could further assist in the search for treatments or prognostic information in both glioma and other cancer types. The work reveals the identity and biological activities of the main genes that regulate and characterise the differences between different glioma subtypes.