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1.
A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks.
Brief Bioinform
; 24(3)2023 05 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-36971393
2.
MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules.
BMC Bioinformatics
; 25(1): 6, 2024 Jan 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-38166644
3.
DeepMPF: deep learning framework for predicting drug-target interactions based on multi-modal representation with meta-path semantic analysis.
J Transl Med
; 21(1): 48, 2023 01 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-36698208
4.
LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model.
Front Genet
; 14: 1122909, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36845392
5.
KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder.
iScience
; 26(8): 107478, 2023 Aug 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-37583550
6.
An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding.
Comput Biol Med
; 165: 107421, 2023 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-37672925
7.
DeepCMI: a graph-based model for accurate prediction of circRNA-miRNA interactions with multiple information.
Brief Funct Genomics
; 2023 Aug 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-37539561
8.
BioDKG-DDI: predicting drug-drug interactions based on drug knowledge graph fusing biochemical information.
Brief Funct Genomics
; 21(3): 216-229, 2022 05 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35368060
9.
KGDCMI: A New Approach for Predicting circRNA-miRNA Interactions From Multi-Source Information Extraction and Deep Learning.
Front Genet
; 13: 958096, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36051691
10.
SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes.
Biology (Basel)
; 11(9)2022 Sep 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-36138829
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