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BRCA1-specific machine learning model predicts variant pathogenicity with high accuracy
Physiological Genomics ( IF 4.6 ) Pub Date : 2023-06-19 , DOI: 10.1152/physiolgenomics.00033.2023 Mohannad Khandakji 1, 2 , Hind Hassan Ahmed Habish 3 , Nawal Bakheet Salem Abdulla 3 , Sitti Apsa Albani Kusasi 3 , Nema Mahmoud Ghobashy Abdou 3 , Hajer Mahmoud M A Al-Mulla 3 , Reem Jawad A A Al Sulaiman 3 , Salha M Bu Jassoum 3 , Borbala Mifsud 1, 4
Physiological Genomics ( IF 4.6 ) Pub Date : 2023-06-19 , DOI: 10.1152/physiolgenomics.00033.2023 Mohannad Khandakji 1, 2 , Hind Hassan Ahmed Habish 3 , Nawal Bakheet Salem Abdulla 3 , Sitti Apsa Albani Kusasi 3 , Nema Mahmoud Ghobashy Abdou 3 , Hajer Mahmoud M A Al-Mulla 3 , Reem Jawad A A Al Sulaiman 3 , Salha M Bu Jassoum 3 , Borbala Mifsud 1, 4
Affiliation
Physiological Genomics, Ahead of Print.
中文翻译：
BRCA1 特异性机器学习模型可高精度预测变异致病性
生理基因组学，印刷前。
更新日期：2023-06-20
中文翻译：
BRCA1 特异性机器学习模型可高精度预测变异致病性
生理基因组学，印刷前。
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