Protein–protein interaction prediction based on ordinal regression and recurrent convolutional neural networks.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04369-0
- By:
- Publication type:
- Article
Works matching IS 14712105 AND DT 2021 AND VI 22 AND IP 6
Results: 13
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FEGS: a novel feature extraction model for protein sequences and its applications.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04223-3
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- Publication type:
- Article
3
Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04200-w
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- Publication type:
- Article
4
Proteome-wide analysis of Coxiella burnetii for conserved T-cell epitopes with presentation across multiple host species.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04181-w
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- Publication type:
- Article
5
NoRCE: non-coding RNA sets cis enrichment tool.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04112-9
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- Publication type:
- Article
6
SPECTRA: a tool for enhanced brain wave signal recognition.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04091-x
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- Publication type:
- Article
7
A multi-task CNN learning model for taxonomic assignment of human viruses.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04084-w
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- Publication type:
- Article
8
Instance-based error correction for short reads of disease-associated genes.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04058-y
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- Publication type:
- Article
9
Boosting scRNA-seq data clustering by cluster-aware feature weighting.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04033-7
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- Publication type:
- Article
10
PIKE-R2P: Protein–protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04022-w
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- Publication type:
- Article
11
Comparative analysis and prediction of nucleosome positioning using integrative feature representation and machine learning algorithms.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-04006-w
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- Publication type:
- Article
12
A semi-supervised deep learning approach for predicting the functional effects of genomic non-coding variations.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-021-03999-8
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- Publication type:
- Article
13
MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1186/s12859-020-03737-6
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- Publication type:
- Article