OLIVIER LICHTARGE to Machine Learning
This is a "connection" page, showing publications OLIVIER LICHTARGE has written about Machine Learning.
Connection Strength
0.888
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EPIMUTESTR: a nearest neighbor machine learning approach to predict cancer driver genes from the evolutionary action of coding variants. Nucleic Acids Res. 2022 07 08; 50(12):e70.
Score: 0.639
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Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease. J Am Heart Assoc. 2023 09 05; 12(17):e029103.
Score: 0.173
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Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A. Hum Genet. 2025 Mar; 144(2-3):295-308.
Score: 0.048
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Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI. Hum Mutat. 2017 09; 38(9):1042-1050.
Score: 0.028