Found: 31
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Stochastic adaptation and fold-change detection: from single-cell to population behavior.
- Published in:
- BMC Systems Biology, 2011, v. 5, n. 1, p. 22, doi. 10.1186/1752-0509-5-22
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- Article
Probability distributed time delays: integrating spatial effects into temporal models.
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- BMC Systems Biology, 2010, v. 4, p. 19, doi. 10.1186/1752-0509-4-19
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- Article
Modelling and simulation techniques for membrane biology.
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- Briefings in Bioinformatics, 2007, v. 8, n. 4, p. 234, doi. 10.1093/bib/bbm033
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- Article
Oscillatory Regulation of Hes1: Discrete Stochastic Delay Modelling and Simulation.
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- PLoS Computational Biology, 2006, v. 2, n. 9, p. e117, doi. 10.1371/journal.pcbi.0020117
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- Article
The hitchhikers' guide to RNA sequencing and functional analysis.
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- Briefings in Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1093/bib/bbac529
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- Article
Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab461
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- Article
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.
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- Briefings in Bioinformatics, 2021, v. 22, n. 5, p. 1, doi. 10.1093/bib/bbab083
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- Article
DeepBL: a deep learning-based approach for in silico discovery of beta-lactamases.
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- Briefings in Bioinformatics, 2021, v. 22, n. 4, p. 1, doi. 10.1093/bib/bbaa301
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- Article
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.
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- Briefings in Bioinformatics, 2021, v. 22, n. 3, p. 1, doi. 10.1093/bib/bbaa125
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- Publication type:
- Article
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1047, doi. 10.1093/bib/bbz041
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- Article
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.
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- Briefings in Bioinformatics, 2020, v. 21, n. 4, p. 1119, doi. 10.1093/bib/bbz051
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- Publication type:
- Article
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1069, doi. 10.1093/bib/bbz050
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- Publication type:
- Article
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2150, doi. 10.1093/bib/bby077
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- Article
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2267, doi. 10.1093/bib/bby089
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- Publication type:
- Article
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.
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- Briefings in Bioinformatics, 2019, v. 20, n. 6, p. 2185, doi. 10.1093/bib/bby079
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- Publication type:
- Article
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
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- Briefings in Bioinformatics, 2019, v. 20, n. 3, p. 931, doi. 10.1093/bib/bbx164
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- Article
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.
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- Briefings in Bioinformatics, 2018, v. 19, n. 1, p. 148, doi. 10.1093/bib/bbw100
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- Article
PROSPECT: A web server for predicting protein histidine phosphorylation sites.
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- Journal of Bioinformatics & Computational Biology, 2020, v. 18, n. 4, p. N.PAG, doi. 10.1142/S0219720020500183
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- Article
Structure-based engineering of a pectate lyase with improved specific activity for ramie degumming.
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- Applied Microbiology & Biotechnology, 2017, v. 101, n. 7, p. 2919, doi. 10.1007/s00253-016-7994-6
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- Article
PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs.
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- Bioinformatics, 2020, v. 36, n. 15, p. 4276, doi. 10.1093/bioinformatics/btaa522
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- Article
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.
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- Bioinformatics, 2020, v. 36, n. 4, p. 1057, doi. 10.1093/bioinformatics/btz721
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- Article
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.
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- Bioinformatics, 2020, v. 36, n. 3, p. 704, doi. 10.1093/bioinformatics/btz629
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- Publication type:
- Article
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.
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- Bioinformatics, 2019, v. 35, n. 17, p. 2957, doi. 10.1093/bioinformatics/btz016
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- Article
Bastion3: a two-layer ensemble predictor of type III secreted effectors.
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- Bioinformatics, 2019, v. 35, n. 12, p. 2017, doi. 10.1093/bioinformatics/bty914
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- Article
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.
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- Bioinformatics, 2018, v. 34, n. 24, p. 4223, doi. 10.1093/bioinformatics/bty522
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- Article
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors.
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- Bioinformatics, 2018, v. 34, n. 15, p. 2546, doi. 10.1093/bioinformatics/bty155
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- Article
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.
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- Bioinformatics, 2018, v. 34, n. 14, p. 2499, doi. 10.1093/bioinformatics/bty140
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- Article
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.
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- 2018
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- Publication type:
- Product Review
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles.
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- Bioinformatics, 2017, v. 33, n. 17, p. 2756, doi. 10.1093/bioinformatics/btx302
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- Publication type:
- Article
Gene-targeted therapy for neurofibromatosis and schwannomatosis: The path to clinical trials.
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- Clinical Trials, 2024, v. 21, n. 1, p. 51, doi. 10.1177/17407745231207970
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- Article
Improved cytokine–receptor interaction prediction by exploiting the negative sample space.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03835-5
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- Article