Detalhe da pesquisa
1.
Model fusion for predicting unconventional proteins secreted by exosomes using deep learning.
Proteomics;
: e2300184, 2024 Apr 21.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38643383
2.
Multi-model predictive analysis of RNA solvent accessibility based on modified residual attention mechanism.
Brief Bioinform;
23(6)2022 11 19.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36305428
3.
Prediction of disease-associated functional variants in noncoding regions through a comprehensive analysis by integrating datasets and features.
Hum Mutat;
42(6): 667-684, 2021 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33822436
4.
autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences.
J Chem Inf Model;
60(8): 3755-3764, 2020 08 24.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32786512
5.
Domain position prediction based on sequence information by using fuzzy mean operator.
Proteins;
83(8): 1462-9, 2015 Aug.
Artigo
em Inglês
| MEDLINE
| ID: mdl-26009844
6.
Combination use of protein-protein interaction network topological features improves the predictive scores of deleterious non-synonymous single-nucleotide polymorphisms.
Amino Acids;
46(8): 2025-35, 2014 Aug.
Artigo
em Inglês
| MEDLINE
| ID: mdl-24849655
7.
Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach.
Front Endocrinol (Lausanne);
15: 1376220, 2024.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38562414
8.
Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy.
Front Microbiol;
14: 1175925, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37275146
9.
Fast and Efficient Design of Deep Neural Networks for Predicting N7-Methylguanosine Sites Using autoBioSeqpy.
ACS Omega;
8(22): 19728-19740, 2023 Jun 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37305295
10.
EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning framework.
Comput Struct Biotechnol J;
21: 4836-4848, 2023.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37854634
11.
layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAP.
iScience;
25(12): 105530, 2022 Dec 22.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36425757
12.
Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning.
Front Microbiol;
13: 843425, 2022.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35401453
13.
The applications of deep learning algorithms on in silico druggable proteins identification.
J Adv Res;
41: 219-231, 2022 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36328750
14.
DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors.
Front Microbiol;
12: 605782, 2021.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33552038
15.
DeepT3 2.0: improving type III secreted effector predictions by an integrative deep learning framework.
NAR Genom Bioinform;
3(4): lqab086, 2021 Dec.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34617013
16.
DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm.
Mol Ther Nucleic Acids;
22: 862-870, 2020 Dec 04.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33230481
17.
Improving Model Performance on the Stratification of Breast Cancer Patients by Integrating Multiscale Genomic Features.
Biomed Res Int;
2020: 1475368, 2020.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32908867
18.
Narrowing the Gap Between In Vitro and In Vivo Genetic Profiles by Deconvoluting Toxicogenomic Data In Silico.
Front Pharmacol;
10: 1489, 2019.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31992983
19.
Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes.
Int J Genomics;
2018: 8124950, 2018.
Artigo
em Inglês
| MEDLINE
| ID: mdl-29546047
20.
Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk prediction.
Sci Rep;
7: 43709, 2017 03 06.
Artigo
em Inglês
| MEDLINE
| ID: mdl-28262806