Skip to main content
. 2019 Nov 30;18:20–26. doi: 10.1016/j.csbj.2019.11.004

Fig. 4.

Fig. 4

The workflow of LPI-Pred. The word embedding model RNA2vec and pro2vec are trained to obtain the sequence information of RNA and protein, and these features after feature selection are used to train Random Forest predictor.