π Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks
π₯From Abstract: ... Here, we provide an overview of databases and datasets for building or testing predictive tools for discovery of cancer drivers. We introduce predictive tools for driver genes, driver mutations, and the impact of these based on structural analysis. Additionally, we suggest and recommend directions in the field to avoid silo-research, moving in the direction of integrative frameworks...
πPublish year: 2023
π Study the paper
π²Channel: @Bioinformatics
#review #driver_genes #cancer #mutation
π₯From Abstract: ... Here, we provide an overview of databases and datasets for building or testing predictive tools for discovery of cancer drivers. We introduce predictive tools for driver genes, driver mutations, and the impact of these based on structural analysis. Additionally, we suggest and recommend directions in the field to avoid silo-research, moving in the direction of integrative frameworks...
πPublish year: 2023
π Study the paper
π²Channel: @Bioinformatics
#review #driver_genes #cancer #mutation
π5β€2
πComputational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications
πJournal: Cancers (I.F.=6.575)
πPublish year: 2023
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #mutation
πJournal: Cancers (I.F.=6.575)
πPublish year: 2023
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #mutation
π8β€3
π Cancer driver mutations: predictions and reality
π Journal: Trends in Molecular Medicine (I.F.=13.6)
πPublish year: 2023
π§βπ»Authors: Daria Ostroverkhova, Teresa M. Przytycka, Anna R. Panchenko
π’University: Queen's University, Canada - National Institutes of Health (NIH), USA
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #mutation #driver
π Journal: Trends in Molecular Medicine (I.F.=13.6)
πPublish year: 2023
π§βπ»Authors: Daria Ostroverkhova, Teresa M. Przytycka, Anna R. Panchenko
π’University: Queen's University, Canada - National Institutes of Health (NIH), USA
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #mutation #driver
β€3π1π1
π½ Mining Patterns of Somatic Mutations in Cancer with Machine Learning
π Watch
π²Channel: @Bioinformatics
#video #machine_learning #cancer #mutation
π Watch
π²Channel: @Bioinformatics
#video #machine_learning #cancer #mutation
YouTube
Mining Patterns of Somatic Mutations in Cancer with Machine Learning
Title: Mining Patterns of Somatic Mutations in Cancer with Machine Learning
Presenter: Quaid Morris, Full Member in the Computational and System Biology program at Sloan Kettering Institute; Co-Director of the Graduate Program in Computational Biology andβ¦
Presenter: Quaid Morris, Full Member in the Computational and System Biology program at Sloan Kettering Institute; Co-Director of the Graduate Program in Computational Biology andβ¦
π4