TY - JOUR A2 - 陈，邢AU - 江，利民AU - 张，张静君AU - 轩，平AU - 邹泉PY - 2016 DA - 2016年8月22日TI - BP神经网络有助于改善miRNA前体鉴定in Various Species SP - 9565689 VL - 2016 AB - MicroRNAs (miRNAs) are a set of short (21–24 nt) noncoding RNAs that play significant regulatory roles in cells. In the past few years, research on miRNA-related problems has become a hot field of bioinformatics because of miRNAs’ essential biological function. miRNA-related bioinformatics analysis is beneficial in several aspects, including the functions of miRNAs and other genes, the regulatory network between miRNAs and their target mRNAs, and even biological evolution. Distinguishing miRNA precursors from other hairpin-like sequences is important and is an essential procedure in detecting novel microRNAs. In this study, we employed backpropagation (BP) neural network together with 98-dimensional novel features for microRNA precursor identification. Results show that the precision and recall of our method are 95.53% and 96.67%, respectively. Results further demonstrate that the total prediction accuracy of our method is nearly 13.17% greater than the state-of-the-art microRNA precursor prediction software tools. SN - 2314-6133 UR - https://doi.org/10.1155/2016/9565689 DO - 10.1155/2016/9565689 JF - BioMed Research International PB - Hindawi Publishing Corporation KW - ER -