Works matching IS 14712105 AND DT 2019 AND VI 20 AND IP 8
Results: 12
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2914-2
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- Article
Protein-protein interaction prediction using a hybrid feature representation and a stacked generalization scheme.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2907-1
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- Article
Dynamic genome-scale cell-specific metabolic models reveal novel inter-cellular and intra-cellular metabolic communications during ovarian follicle development.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2825-2
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- Article
A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2773-x
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- Article
Integrated entropy-based approach for analyzing exons and introns in DNA sequences.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2772-y
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- Article
A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2771-z
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- Article
Scoring amino acid mutation to predict pandemic risk of avian influenza virus.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2770-0
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- Article
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2769-6
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- Article
L<sub>2,1</sub>-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions.
- Published in:
- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2768-7
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- Article
Probe computing model based on small molecular switch.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2767-8
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- Article
An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies.
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- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2766-9
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- Article
Preface.
- Published in:
- BMC Bioinformatics, 2019, v. 20, n. 8, p. 1, doi. 10.1186/s12859-019-2765-x
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- Publication type:
- Article