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LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-021-04485-x
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- Article
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification.
- Published in:
- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-021-04399-8
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- Article
Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion.
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- Frontiers in Microbiology, 2022, v. 13, p. 1, doi. 10.3389/fmicb.2022.740382
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- Article
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies.
- Published in:
- Briefings in Bioinformatics, 2022, v. 23, n. 4, p. 1, doi. 10.1093/bib/bbac234
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- Article
Identifying Effective Antiviral Drugs Against SARS-CoV-2 by Drug Repositioning Through Virus-Drug Association Prediction.
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- Frontiers in Genetics, 2020, v. 11, p. N.PAG, doi. 10.3389/fgene.2020.577387
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- Article
A novel lncRNA–protein interaction prediction method based on deep forest with cascade forest structure.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-98277-1
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- Article
Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-83737-5
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- Article
EnANNDeep: An Ensemble-based lncRNA–protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models.
- Published in:
- Interdisciplinary Sciences: Computational Life Sciences, 2022, v. 14, n. 1, p. 209, doi. 10.1007/s12539-021-00483-y
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- Article