Ashraf, Faisal BinAjwad, RasifMottalib M.A.2026-08-192026-08-192019-04-01F. B. Ashraf, R. Ajwad and M. A. Mottalib, "A novel gene-tree based approach to infer relations among disease-genes across different cancer types," 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox'sBazar, Bangladesh, 2019, pp. 1-5, doi: 10.1109/ECACE.2019.8678921.97815386911132-s2.0-85064597442https://hdl.handle.net/10361/29262Due to advanced sequencing techniques, we now have abundant collection of gene sequence data. Creating a correlation among these sequence data to infer disease-related information seems to be a tough ask even now, due to the lack of inter-disease association studies. In this paper we have proposed a gene-tree based approach to infer disease-genes across three different cancer types with a view to analyzing the genes and infer their relationships across different pathways and gene ontologies. We have found a total of three significant gene clusters based on hierarchical clustering and found the genes significantly associated with different molecular pathways, which have previously been associated with poor cancer prognosis.5 Pagesen-USCancer typesDisease-genesGene ontologyGene-treeHierarchical clusteringPathwayCancer--Genetic aspects.Cancer--Molecular aspects.Conference Proceeding10.1109/ECACE.2019.8678921