Detalhe da pesquisa
1.
Predicting drug-target binding affinity with cross-scale graph contrastive learning.
Brief Bioinform
; 25(1)2023 11 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-38221904
2.
scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks.
Brief Bioinform
; 24(6)2023 09 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-37903416
3.
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
Brief Bioinform
; 24(2)2023 03 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36847701
4.
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-34727570
5.
A review and performance evaluation of clustering frameworks for single-cell Hi-C data.
Brief Bioinform
; 23(6)2022 11 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36151714
6.
Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-34545927
7.
DxFormer: a decoupled automatic diagnostic system based on decoder-encoder transformer with dense symptom representations.
Bioinformatics
; 39(1)2023 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36409016
8.
DFinder: a novel end-to-end graph embedding-based method to identify drug-food interactions.
Bioinformatics
; 39(1)2023 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36579885
9.
A benchmark for automatic medical consultation system: frameworks, tasks and datasets.
Bioinformatics
; 39(1)2023 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36539203
10.
Identifying drug-target interactions based on graph convolutional network and deep neural network.
Brief Bioinform
; 22(2): 2141-2150, 2021 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32367110
11.
Integrating multi-network topology for gene function prediction using deep neural networks.
Brief Bioinform
; 22(2): 2096-2105, 2021 03 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-32249297
12.
Prediction and collection of protein-metabolite interactions.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33554247
13.
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33517357
14.
Hierarchical reinforcement learning for automatic disease diagnosis.
Bioinformatics
; 38(16): 3995-4001, 2022 08 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35775965
15.
SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Nucleic Acids Res
; 49(D1): D1413-D1419, 2021 01 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33010177
16.
Explore potential disease related metabolites based on latent factor model.
BMC Genomics
; 23(Suppl 1): 269, 2022 Apr 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35387615
17.
DeepLearnMOR: a deep-learning framework for fluorescence image-based classification of organelle morphology.
Plant Physiol
; 186(4): 1786-1799, 2021 08 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-34618108
18.
A novel subnetwork representation learning method for uncovering disease-disease relationships.
Methods
; 192: 77-84, 2021 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32946974
19.
A novel method for predicting cell abundance based on single-cell RNA-seq data.
BMC Bioinformatics
; 22(Suppl 9): 281, 2021 Aug 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-34433409
20.
A pipeline for RNA-seq based eQTL analysis with automated quality control procedures.
BMC Bioinformatics
; 22(Suppl 9): 403, 2021 Aug 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-34433407