by Aditi Jain
Although, there does exist tools that identify personalized cancer genes, however, they use unsupervised learning method and predicts based on the presence and absence of mutations in cancer-related genes. This study, however, is the first one to use the supervised learning method by applying gene-based labelling that is cancer-specific. This new model also takes into account the functional impact of the mutations while making predictions.
“ The research area of precision medicine is still at a nascent stage. PIVOT helps push these boundaries and presents prospects for experimental research based on the genes identified,” says Malvika Sudhakar, lead author of the study.
Read the whole blog at https://rbcdsai.iitm.ac.in/blogs/towards-personalized-cancer-treatment/
Access the PIVOT tool at https://github.com/RamanLab/PIVOT/
Original Paper: [bibtex file=karthikraman-publications.bib key=Sudhakar2022Multiomic]