It is a challenge to classify protein-coding or non-coding transcripts, especially those re-constructed from high-throughput sequencing data of poorly annotated species. We developed and evaluated a ...

In this paper, we develop a novel deep neural network-based MLC model named ETFC to predict MFPTs. This work has the following advantages over existing methods: (1) In the ETFC model, semantic-based ...