A network-driven pipeline is developed which combines heterogeneous genomic datasets related to lncRNAs in melanoma, their potential binding partners (lncRNA-miRNA; lncRNA-TF), melanoma-associated genes (miRNA-target gene), TFs regulating miRNAs (TF-miRNA), and TF-TF interactions to determine the cross-talk between various network layers, and their impact on tumor progression and disease phenotype. The gene discussed is TF; the disease is neoplasm.