A novel causality-based method for identifying drivers of breast cancer progression
Abstract Motivation Identifying transcriptomic factors with potential causal effects on breast cancer progression is important for understanding disease mechanisms and prioritizing therapeutic targets. However, causal-effect estimation from high-dimensional gene-expression data remains challenging because of the large...
Lai-Ping Shen, Ying-Hao Zhang, Xiao-Yan Zhou et al.
· Bioinformatics · 0 citations