TY - JOUR AU - Mei, Suyu AU - Zhu, Hao PY - 2015 DA - 2015/12/30 TI - Multi-label multi-instance transfer learning for simultaneous reconstruction and cross-talk modeling of multiple human signaling pathways JO - BMC Bioinformatics SP - 417 VL - 16 IS - 1 AB - Signaling pathways play important roles in the life processes of cell growth, cell apoptosis and organism development. At present the signal transduction networks are far from complete. As an effective complement to experimental methods, computational modeling is suited to rapidly reconstruct the signaling pathways at low cost. To our knowledge, the existing computational methods seldom simultaneously exploit more than three signaling pathways into one predictive model for the discovery of novel signaling components and the cross-talk modeling between signaling pathways. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-015-0841-4 DO - 10.1186/s12859-015-0841-4 ID - Mei2015 ER -