Detalhe da pesquisa
1.
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding.
Brief Bioinform
; 25(3)2024 Mar 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-38581416
2.
scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36592058
3.
scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36631401
4.
Deleterious synonymous mutation identification based on selective ensemble strategy.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36611253
5.
scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
Brief Bioinform
; 23(2)2022 03 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35136924
6.
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism.
Brief Bioinform
; 23(6)2022 11 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36305457
7.
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
PLoS Comput Biol
; 19(8): e1011344, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37651321
8.
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33415333
9.
usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33866367
10.
scCNC: a method based on capsule network for clustering scRNA-seq data.
Bioinformatics
; 38(15): 3703-3709, 2022 08 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-35699473
11.
scSSA: A clustering method for single cell RNA-seq data based on semi-supervised autoencoder.
Methods
; 208: 66-74, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-36377123
12.
Promoter prediction in nannochloropsis based on densely connected convolutional neural networks.
Methods
; 204: 38-46, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35367367
13.
iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework.
BMC Bioinformatics
; 23(1): 480, 2022 Nov 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-36376800
14.
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.
BMC Bioinformatics
; 23(1): 381, 2022 Sep 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36123637
15.
A feature-based approach to predict hot spots in protein-DNA binding interfaces.
Brief Bioinform
; 21(3): 1038-1046, 2020 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-30957840
16.
Comparison and integration of computational methods for deleterious synonymous mutation prediction.
Brief Bioinform
; 21(3): 970-981, 2020 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31157880
17.
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
PLoS Comput Biol
; 17(12): e1009655, 2021 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34890410
18.
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.
PLoS Comput Biol
; 17(7): e1009165, 2021 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34252084
19.
Double matrix completion for circRNA-disease association prediction.
BMC Bioinformatics
; 22(1): 307, 2021 Jun 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-34103016
20.
Identification of driver genes based on gene mutational effects and network centrality.
BMC Bioinformatics
; 22(Suppl 3): 457, 2021 Sep 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-34560840