Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“ƒ Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks

πŸ’₯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...

πŸ—“Publish year: 2023

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πŸ“²Channel: @Bioinformatics
#review #driver_genes #cancer #mutation
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πŸ“„Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications

πŸ“˜Journal: Cancers (I.F.=6.575)
πŸ—“Publish year: 2023

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πŸ“²Channel: @Bioinformatics
#review #cancer #mutation
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πŸ“ƒ Cancer driver mutations: predictions and reality

πŸ“˜ Journal: Trends in Molecular Medicine (I.F.=13.6)
πŸ—“Publish year: 2023

πŸ§‘β€πŸ’»Authors: Daria Ostroverkhova, Teresa M. Przytycka, Anna R. Panchenko
🏒University: Queen's University, Canada - National Institutes of Health (NIH), USA

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πŸ“²Channel: @Bioinformatics
#review #cancer #mutation #driver
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