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Scientists Identify 165 New Cancer Genes Using Machine Learning

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The ability of artificial intelligence (AI) and machine learning (ML) in furthering medical research has become indisputable. Adding credence to their application, a new ML algorithm has helped researchers identify over 160 new genes that are responsible for the development of numerous cancers.
Developed by scientists from the Max Planck Institute for Molecular Genetics (MPIMG) and Institute of Computational Biology (ICB), the algorithm helped identify 165 unknown cancer genes. The new genes are said to closely interact with previously known cancer-causing genes and found to be vital in the survival of cancer cells in cell culture experiments. ....

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More than the sum of mutations

165 new cancer genes identified with the help of machine learning. ....

Stefan Budach , Denes Hnisz , Annalisa Marsico , Roman Schulte Sasse , Institute Of Computational Biology Helmholtz Zentrum , Max Planck Institute For Molecular Genetics , Max Planck Institute , Molecular Genetics , Computational Biology , Explainable Multi Omics Graph Integration , Nature Machine Intelligence , Artificial Intelligence , Multi Omics Data , Graph Convolutional Networks , Identify New Cancer Genes , Associated Molecular , Medicine Health , மூலக்கூறு ஜெநெடிக்ஸ் , கணக்கீட்டு உயிரியல் , இயற்கை இயந்திரம் உளவுத்துறை , செயற்கை உளவுத்துறை , தொடர்புடையது மூலக்கூறு , மருந்து ஆரோக்கியம் ,