Detalhe da pesquisa
1.
The hitchhikers' guide to RNA sequencing and functional analysis.
Brief Bioinform
; 24(1)2023 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-36617463
2.
Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Brief Bioinform
; 23(1)2022 01 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-34729589
3.
Gene-targeted therapy for neurofibromatosis and schwannomatosis: The path to clinical trials.
Clin Trials
; 21(1): 51-66, 2024 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-37937606
4.
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.
Brief Bioinform
; 22(5)2021 09 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33774670
5.
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.
Brief Bioinform
; 22(3)2021 05 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-32599617
6.
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases.
Brief Bioinform
; 22(4)2021 07 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-33212503
7.
BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria.
Nucleic Acids Res
; 49(D1): D651-D659, 2021 01 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33084862
8.
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.
Brief Bioinform
; 21(4): 1119-1135, 2020 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31204427
9.
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
Brief Bioinform
; 21(3): 1069-1079, 2020 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31161204
10.
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.
Brief Bioinform
; 21(3): 1047-1057, 2020 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-31067315
11.
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.
Brief Bioinform
; 20(6): 2185-2199, 2019 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-30351377
12.
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
Brief Bioinform
; 20(3): 931-951, 2019 05 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-29186295
13.
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
Brief Bioinform
; 20(6): 2267-2290, 2019 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-30285084
14.
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
Brief Bioinform
; 20(6): 2150-2166, 2019 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-30184176
15.
PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs.
Bioinformatics
; 36(15): 4276-4282, 2020 08 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32426818
16.
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.
Bioinformatics
; 36(3): 704-712, 2020 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31393553
17.
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
Bioinformatics
; 36(4): 1057-1065, 2020 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31566664
18.
Improved cytokine-receptor interaction prediction by exploiting the negative sample space.
BMC Bioinformatics
; 21(1): 493, 2020 Oct 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-33129275
19.
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.
Brief Bioinform
; 19(1): 148-161, 2018 01 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27777222
20.
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.
Bioinformatics
; 35(17): 2957-2965, 2019 09 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30649179