Biochem. Mol. Biophys. Grad. Group, Univ. of Pennsylvania, Philadelphia, PA, USA;
bioinformatics; cancer; cellular biophysics; enzymes; genetics; learning (artificial intelligence); medical computing; patient treatment; support vector machines; tumours; SVM; activation status prediction; cancer driver mutations; cancer treatment; disease treatment; kinase domain mutations; kinase misregulation; machine learning predictions; machine learning technique; support vector machines; Accuracy; Bioinformatics; Genomics; Support vector machines;
机译:癌症突变的机器学习分类和结构功能分析揭示了癌肠和肿瘤抑制基因的独特动态和网络签名
机译:癌症突变的机器学习分类和结构功能分析揭示了癌肠和肿瘤抑制基因的独特动态和网络签名
机译:NeoMutate:一个集成的机器学习框架,用于预测癌症中的体细胞突变
机译:癌症司机突变的机器学习预测
机译:综合机学习和生物信息学预测癌症驾驶基因突变的方法
机译:LOTUS:用于预测癌症驱动基因的单任务和多任务机器学习算法
机译:用机器学习方法整合乳腺癌生存预测的体细胞突变