Prediction of lncRNA-disease associations via an embedding learning HOPE in heterogeneous information networks

por Zhou, Ji-Ren, You, Zhu-Hong, Cheng, Li, Ji, Bo-Ya
Publicado 2020

An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation

por Chen, Zhan-Heng, Li, Li-Ping, He, Zhou, Zhou, Ji-Ren, Li, Yangming, Wong, Leon
Publicado 2019

SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease Representation

por Ji, Bo-Ya, Pan, Liang-Rui, Zhou, Ji-Ren, You, Zhu-Hong, Peng, Shao-Liang
Publicado 2022

Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model

por Ji, Bo-Ya, You, Zhu-Hong, Cheng, Li, Zhou, Ji-Ren, Alghazzawi, Daniyal, Li, Li-Ping
Publicado 2020

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information

por Yi, Hai-Cheng, You, Zhu-Hong, Wang, Mei-Neng, Guo, Zhen-Hao, Wang, Yan-Bin, Zhou, Ji-Ren
Publicado 2020

KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder

por Wang, Xin-Fei, Yu, Chang-Qing, You, Zhu-Hong, Qiao, Yan, Li, Zheng-Wei, Huang, Wen-Zhun, Zhou, Ji-Ren, Jin, Hai-Yan
Publicado 2023