Identification of Key Prognostic Genes of Triple Negative Breast Cancer by LASSO-Based Machine Learning and Bioinformatics AnalysisDe-Lun Chen, Charles C.N. Wang, Jia-Hua Cai|Genes|2022Cited by 73
LASSO and Bioinformatics Analysis in the Identification of Key Genes for Prognostic Genes of Gynecologic CancerShaohua Yu, Charles C.N. Wang, De-Lun Chen et al.|Journal of Personalized Medicine|2021Cited by 35
Cross-Platform in-silico Analyses Exploring Tumor Immune Microenvironment with Prognostic Value in Triple-Negative Breast CancerVictor C. Kok, De-Lun Chen, Charles C.N. Wang et al.|Breast Cancer Targets and Therapy|2022Cited by 11
Abstract 2719: Interleukin-17 and cytokine-related signalings are determinants for tumor immune microenvironment in triple-negative breast cancer: <i>in silico</i> integrated analysisVictor C. Kok, De-Lun Chen, Charles C.N. Wang et al.|Cancer Research|2021Cited by 1
Interleukin-17-based cytokine signaling as a determinant for tumor immune microenvironment with prognostic value in triple-negative breast cancerVictor C. Kok, De-Lun Chen, Charles C.N. Wang et al.|Research Square|2021Cited by 0