Fig. 1

Construction of ML-hGRN for lignocellulosic pathway. a. Four-layered hGRN built with GGM bottom-up algorithm. The gene IDs represented by each symbol can be found in Additional file 1: Table S1. b. The gene association network of lignocellulosic pathway built with ARACNE algorithm that identifies expression profile-dependent genes. The input files for both bottom-up GGM algorithm and ARANCE include the profiles of 1622 transcription factors and 25 lignocellulosic pathway genes. The nodes with coral (red) color highlight in both networks are known regulatory TFs for lignocellulosic pathway in existing knowledgebase. The gene IDs represented by each symbol can be found in Additional file 1: Table S2