Biclustering-based association rule mining approach for predicting cancer-associated protein interactions.

ABSTRACT: Protein-protein interactions (PPIs) have been widely used to understand different biological processes and cellular functions associated with several diseases like cancer. Although some cancer-related protein interaction databases are available, lack of experimental data and conflicting PPI data among different available databases have slowed down the cancer research. Therefore, in this study, the authors have focused on various proteins that are directly related to different types of cancer disease. They have prepared a PPI database between cancer-associated proteins with the rest of the human proteins. They have also incorporated the annotation type and direction of each interaction. Subsequently, a biclustering-based association rule mining algorithm is applied to predict new interactio

SUBMITTER: Dey L 

PROVIDER: S-EPMC8687327 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature