Technology　convergence　is　a　hot　research　topic　within　a　challenging　field.　It　is　of　great　significance　to　analyze　the　fusion　mechanism　and　mine　the　key　technologies　that　affect　technology　convergence,　which　can　guide　the　development　of　technology　fusion　and　improve　the　independent　innovation　capability　of　enterprises.　It　is　a　novel　idea　to　introduce　genetic　engineering　into　the　process　of　technological　innovation　and　convergence　as　the　similar　recombination　process　they　both　have.　In　this　study,　weighted　gene　co-expression　network　analysis　(WGCNA),　which　is　based　on　the　similarity　measure　of　a　topological　overlap　structure,　was　utilized　in　the　analysis　of　the　International　Patent　Classification　(IPC)　of　patents.　In　this　analysis,　the　gene　with　a　high　correlation　was　identified　as　a　＇technical　gene　module＇　using　the　dynamic　tree　cut　algorithm.　Furthermore,　hub　technology　genes,　which　are　highly　related　to　technology　fusion　and　have　high　connectivity　in　the　module,　could　be　obtained.　This　study　revealed　the　internal　relationships　present　in　technologies　and　provided　novel　ideas　for　researching　the　fusion　mechanism　of　technology　convergence.　©　2018　Portland　International　Conference　on　Management　of　Engineering　and　Technology,　Inc.　(PICMET).