Detalhe da pesquisa
1.
scCorrector: a robust method for integrating multi-study single-cell data.
Brief Bioinform
; 25(2)2024 Jan 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-38271483
2.
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data.
BMC Bioinformatics
; 24(1): 481, 2023 Dec 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38104057
3.
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
Brief Bioinform
; 22(2): 2085-2095, 2021 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32232320
4.
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
BMC Bioinformatics
; 22(Suppl 5): 622, 2022 Mar 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-35317723
5.
iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation.
PLoS Comput Biol
; 16(5): e1007872, 2020 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32421715
6.
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.
BMC Bioinformatics
; 21(1): 60, 2020 Feb 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-32070279
7.
Prediction of drug-target interactions from multi-molecular network based on LINE network representation method.
J Transl Med
; 18(1): 347, 2020 09 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-32894154
8.
[Prediction the Soluble Solid Content in Sugarcanes by Using Near Infrared Hyperspectral Imaging System].
Guang Pu Xue Yu Guang Pu Fen Xi
; 35(8): 2154-8, 2015 Aug.
Artigo
em Zh
| MEDLINE | ID: mdl-26672284
9.
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.
IEEE/ACM Trans Comput Biol Bioinform
; 20(1): 616-624, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-35389869
10.
GraphCPIs: A novel graph-based computational model for potential compound-protein interactions.
Mol Ther Nucleic Acids
; 32: 721-728, 2023 Jun 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-37251691
11.
A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning.
Cancers (Basel)
; 13(9)2021 Apr 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-33925568
12.
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations.
IEEE/ACM Trans Comput Biol Bioinform
; 18(6): 2546-2554, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-32070992
13.
iMDA-BN: Identification of miRNA-disease associations based on the biological network and graph embedding algorithm.
Comput Struct Biotechnol J
; 18: 2391-2400, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33005302
14.
Integrative Construction and Analysis of Molecular Association Network in Human Cells by Fusing Node Attribute and Behavior Information.
Mol Ther Nucleic Acids
; 19: 498-506, 2020 Mar 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31923739
15.
Prediction of Drug-Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model.
Front Bioeng Biotechnol
; 8: 338, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32582646
16.
Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network.
iScience
; 23(7): 101261, 2020 Jul 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-32580123
17.
Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities.
Gigascience
; 9(6)2020 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32533701
18.
MIPDH: A Novel Computational Model for Predicting microRNA-mRNA Interactions by DeepWalk on a Heterogeneous Network.
ACS Omega
; 5(28): 17022-17032, 2020 Jul 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-32715187
19.
A learning based framework for diverse biomolecule relationship prediction in molecular association network.
Commun Biol
; 3(1): 118, 2020 03 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-32170157
20.
Construction and Analysis of Molecular Association Network by Combining Behavior Representation and Node Attributes.
Front Genet
; 10: 1106, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31788002