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RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information
2020
BMC Bioinformatics
The interactions between non-coding RNAs (ncRNA) and proteins play an essential role in many biological processes. Several high-throughput experimental methods have been applied to detect ncRNA-protein interactions. However, these methods are time-consuming and expensive. Accurate and efficient computational methods can assist and accelerate the study of ncRNA-protein interactions. In this work, we develop a stacking ensemble computational framework, RPI-SE, for effectively predicting
doi:10.1186/s12859-020-3406-0
pmid:32070279
fatcat:ktw7rqqnvfb4pjyjedl5ryj3mm