TY - JOUR AU - Chang, Jennifer AU - Cho, Hyejin AU - Chou, Hui-Hsien PY - 2016 DA - 2016/08/02 TI - Mango: combining and analyzing heterogeneous biological networks JO - BioData Mining SP - 25 VL - 9 IS - 1 AB - Heterogeneous biological data such as sequence matches, gene expression correlations, protein-protein interactions, and biochemical pathways can be merged and analyzed via graphs, or networks. Existing software for network analysis has limited scalability to large data sets or is only accessible to software developers as libraries. In addition, the polymorphic nature of the data sets requires a more standardized method for integration and exploration. SN - 1756-0381 UR - https://doi.org/10.1186/s13040-016-0105-5 DO - 10.1186/s13040-016-0105-5 ID - Chang2016 ER -