PreLnc: An Accurate Tool for Predicting lncRNAs Based on Multiple Features.Accumulating evidence indicates that long non-coding RNAs (lncRNAs) have certain similarities with messenger RNAs (mRNAs) and are associated with numerous important biological processes, thereby demanding methods to distinguish them.  In this paper, we propose a convenient and accurate tool "PreLnc", which uses high-confidence lncRNA and mRNA transcripts to build prediction models through feature selection and classifiers.  Finally, the balanced random forest was used to construct the classifier, and PreLnc obtained 91.09% accuracy for 349,186 transcripts of animals and plants.  In addition, by comparing standard performance measurements, PreLnc performed better than other prediction tools.
PreLnc
PreLnc: An Accurate Tool for Predicting lncRNAs Based on Multiple Features.Accumulating evidence indicates that long non-coding RNAs (lncRNAs) have certain similarities with messenger RNAs (mRNAs) and are associated with numerous important biological processes, thereby demanding methods to distinguish them.  In this paper, we propose a convenient and accurate tool "PreLnc", which uses high-confidence lncRNA and mRNA transcripts to build prediction models through feature selection and classifiers.  Finally, the balanced random forest was used to construct the classifier, and PreLnc obtained 91.09% accuracy for 349,186 transcripts of animals and plants.  In addition, by comparing standard performance measurements, PreLnc performed better than other prediction tools.
PreLnc