TY - JOUR AU - Yang, Jing AU - Wu, Su-Juan AU - Dai, Wen-Tao AU - Li, Yi-Xue AU - Li, Yuan-Yuan PY - 2015 DA - 2015/10/08 TI - The human disease network in terms of dysfunctional regulatory mechanisms JO - Biology Direct SP - 60 VL - 10 IS - 1 AB - Elucidation of human disease similarities has emerged as an active research area, which is highly relevant to etiology, disease classification, and drug repositioning. In pioneer studies, disease similarity was commonly estimated according to clinical manifestation. Subsequently, scientists started to investigate disease similarity based on gene-phenotype knowledge, which were inevitably biased to well-studied diseases. In recent years, estimating disease similarity according to transcriptomic behavior significantly enhances the probability of finding novel disease relationships, while the currently available studies usually mine expression data through differential expression analysis that has been considered to have little chance of unraveling dysfunctional regulatory relationships, the causal pathogenesis of diseases. SN - 1745-6150 UR - https://doi.org/10.1186/s13062-015-0088-z DO - 10.1186/s13062-015-0088-z ID - Yang2015 ER -