摘要
The ever-increasing high-volume and high-dimensional geno-mics data on the one hand challenge traditional data analysis approaches,and on the other hand provide ample opportuni-ties for developing novel analytic strategies.
基金
supported by the Basic Research Grant (Grant No. JCYJ20170307105752508) from the Science and Technology Innovation Commission of Shenzhen Municipal Government, China
the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR), Saudi Arabia (Grant Nos. FCC/1/1976-04, URF/1/ 2602-01, URF/1/3007-01, URF/1/3412-01, URF/1/3450-01, and URF/1/3454-01)
