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International Journal of Molecular Sciences, ISSN 1422-0067, 11/2019, Volume 20, Issue 22, p. 5743
In spite of the large-scale production and widespread distribution of vaccines and antiviral drugs, viruses remain a prominent human disease. Recently, the... 
meta-predictor | random forest | classification | machine learning | antiviral peptide | therapeutic peptides
Journal Article
Genetics in Medicine, ISSN 1098-3600, 01/2019, Volume 21, Issue 1, pp. 71 - 80
Purpose: To improve methods for predicting the impact of missense variants of uncertain significance (VUS) in BRCA1 and BRCA2 on protein function. Methods:... 
BRCA1 and BRCA2 | Functional evaluation | VUS | Metapredictor | In silico prediction | DOMAIN | SCORE | CLASSIFICATION | BREAST-CANCER | UNKNOWN CLINICAL-SIGNIFICANCE | GENOMICS | GENETICS & HEREDITY | ASSOCIATION | meta-predictor | in silico prediction | functional evaluation
Journal Article
Molecular Therapy - Nucleic Acids, ISSN 2162-2531, 06/2019, Volume 16, pp. 733 - 744
DNA N4-methylcytosine (4mC) is an important genetic modification and plays crucial roles in differentiation between self and non-self DNA and in controlling... 
DNA N4-methylcytosine | meta-predictor | probabilistic features | feature representation learning | support vector machine | DNA biosynthesis | Learning algorithms | Accuracy | Algorithms | E coli | Nucleotide sequence | Cell cycle | DNA methylation | Epigenetics | Genomes | Gene expression | Deoxyribonucleic acid--DNA
Journal Article
Future Generation Computer Systems, ISSN 0167-739X, 2010, Volume 26, Issue 3, pp. 434 - 440
Proteins interact among themselves, and different interactions form a very huge number of possible combinations representable as protein-to-protein interaction... 
Graph-clustering | Meta-predictor | Protein complexes prediction | Protein-to-protein interactions | ALGORITHM | INTERACTOME | YEAST | DATABASE | GENOMES | BIOLOGY | INTERACTION NETWORKS | COMPUTER SCIENCE, THEORY & METHODS | MIPS | Proteins
Journal Article
Proteins: Structure, Function and Genetics, ISSN 0887-3585, 08/2006, Volume 64, Issue 2, pp. 300 - 307
Journal Article
International Journal of Data Mining, Modelling and Management, ISSN 1759-1163, 2013, Volume 5, Issue 3, pp. 246 - 260
Modern gene location prediction techniques are able to achieve near-perfect accuracy for prokaryotic organisms, but this reported accuracy is generally only... 
Bayesian classification | Genomics | Gene location prediction | Meta-predictor | Prokaryote | Data mining | Ecogene | E. coli | Start codon | Accuracy | Databases | Genes | Classification | Organisms | Mathematical models | Position (location) | Bayesian analysis
Journal Article
WSEAS Transactions on Computers, ISSN 1109-2750, 02/2010, Volume 9, Issue 2, pp. 144 - 153
Journal Article
Proteins: Structure, Function, and Bioinformatics, ISSN 0887-3585, 2003, Volume 53, Issue S6, pp. 517 - 523
Journal Article
Proceedings of the 6th ACM Conference on bioinformatics, computational biology and health informatics, 09/2015, pp. 480 - 481
MiRNAs are small non-coding RNAs, but perform important function in regulating the translation of mRNAs into proteins. Experimental identification of miRNAs is... 
artificial neural networks | deep learning | miRNA | meta-predictor | non-linear transformation | principal component analysis | Deep learning | Meta-predictor | Non-linear transformation | Artificial neural networks | Principal component analysis
Conference Proceeding
2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 08/2015, pp. 1 - 5
Glycosylation is one of important post-translational modifications. It is the chemical modification of a protein after its translation. It is a common... 
Proteins | Training | Protein engineering | Machine learning algorithms | meta-predictor | Tin | Prediction algorithms | glycosylation | multiplicative update algorithms | on-line decision problem | Diseases
Conference Proceeding
2013 IEEE International Conference on Bioinformatics and Biomedicine, 12/2013, pp. 74 - 77
Virtual screening based on protein-ligand docking is widely applied at the early stage of drug discovery. Scoring functions from a diverse set of existing... 
Proteins | protein-ligand docking | Accuracy | case-based meta-learning | virtual screening | Cities and towns | consensus scoring | Prediction algorithms | Meta-predictor | Reliability | Bioinformatics | Chemicals | Screening | Similarity | Scoring | Docking | Benchmarking | Mathematical models
Conference Proceeding
2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 12/2010, pp. 49 - 52
Conference Proceeding
Proteins: Structure, Function, and Bioinformatics, ISSN 0887-3585, 05/2003, Volume 51, Issue 3, pp. 434 - 441
Journal Article
2006 International Conference on Machine Learning and Cybernetics, ISSN 2160-133X, 08/2006, Volume 2006, pp. 4551 - 4556
Automatic source attribution refers to the ability for an autonomous process to determine the source of a previously unexamined piece of writing. Statistical... 
Statistical analysis | naïve Bayesian | n-grams | Humans | Educational institutions | Meta predictors | Computer science | authorship attribution | Bayesian methods | Neural networks | Machine learning | Writing | Search engines | Frequency | Source attribution | Authorship attribution | N-grams | Naïve Bayesian
Conference Proceeding
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