Hierarchical Extension Based on the Boolean Matrix for LncRNA-Disease Association Prediction

摘要

Background: Accumulating experimental studies demonstrated that long non-coding RNAs (LncRNAs) play crucial roles in the occurrence and development progress of various complex human diseases. Nonetheless, only a small portion of LncRNA-disease associations have been experimentally verified at present. Automatically predicting LncRNA-disease associations based on computational models can save the huge cost of wet-lab experiments.