Detalles de la búsqueda
1.
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes.
Bioinformatics
; 40(2)2024 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38269610
2.
multi-type neighbors enhanced global topology and pairwise attribute learning for drug-protein interaction prediction.
Brief Bioinform
; 23(5)2022 09 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-35514190
3.
Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction.
Brief Bioinform
; 23(3)2022 05 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35470853
4.
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs.
Brief Bioinform
; 23(3)2022 05 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35362511
5.
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.
Brief Bioinform
; 23(2)2022 03 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-35136910
6.
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.
Brief Bioinform
; 23(2)2022 03 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-35108362
7.
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction.
Brief Bioinform
; 23(1)2022 01 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34634106
8.
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction.
Brief Bioinform
; 23(3)2022 05 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35393616
9.
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.
Brief Bioinform
; 23(1)2022 01 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34850815
10.
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.
Brief Bioinform
; 23(1)2022 01 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34718408
11.
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.
Brief Bioinform
; 23(5)2022 09 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-36088549
12.
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs.
J Chem Inf Model
; 64(8): 3569-3578, 2024 Apr 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38523267
13.
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.
Brief Bioinform
; 22(3)2021 05 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-32444875
14.
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.
Brief Bioinform
; 22(5)2021 09 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33839743
15.
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.
J Chem Inf Model
; 63(21): 6947-6958, 2023 11 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-37906529
16.
Learning Multi-Types of Neighbor Node Attributes and Semantics by Heterogeneous Graph Transformer and Multi-View Attention for Drug-Related Side-Effect Prediction.
Molecules
; 28(18)2023 Sep 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37764319
17.
Integration of Neighbor Topologies Based on Meta-Paths and Node Attributes for Predicting Drug-Related Diseases.
Int J Mol Sci
; 23(7)2022 Mar 31.
Artículo
en Inglés
| MEDLINE | ID: mdl-35409235
18.
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions.
BMC Bioinformatics
; 21(1): 230, 2020 Jun 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-32503424
19.
Drug repositioning through integration of prior knowledge and projections of drugs and diseases.
Bioinformatics
; 35(20): 4108-4119, 2019 10 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-30865257
20.
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network.
Bioinformatics
; 34(2): 267-277, 2018 Jan 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-28968753