Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma
基于多种表观遗传特征的机器学习揭示了H3K27Ac是胶质母细胞瘤患者基因表达预测的驱动因素
期刊:PLoS Computational Biology
影响因子:3.6
doi:10.1371/journal.pcbi.1012272
Suita, Yusuke; Bright, Hardy Jr; Pu, Yuan; Toruner, Merih Deniz; Idehen, Jordan; Tapinos, Nikos; Singh, Ritambhara