Skip to main content
Fig. 1 | BMC Systems Biology

Fig. 1

From: BTNET : boosted tree based gene regulatory network inference algorithm using time-course measurement data

Fig. 1

Overview of BTNET. a BTNET takes time-course measurement data as input. b Boosted tree (Adaboost or gradient boosting) is used to compute regulatory interaction scores for all pairs of genes. c BTNET outputs a weighted adjacency matrix which contains the regulatory interaction scores. d A gene regulatory network is reconstructed by only using high confidence regulatory interactions

Back to article page