Works matching IS 20412649 AND DT 2023 AND VI 22 AND IP 3
Results: 7
iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information.
- Published in:
- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 302, doi. 10.1093/bfgp/elac057
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- Article
Network-medicine approach for the identification of genetic association of parathyroid adenoma with cardiovascular disease and type-2 diabetes.
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- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 250, doi. 10.1093/bfgp/elac054
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- Article
The evolution of the spike protein and hACE2 interface of SARS-CoV-2 omicron variants determined by hydrogen bond formation.
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- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 291, doi. 10.1093/bfgp/elac053
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- Article
Transcriptional advantage influence odorant receptor gene choice.
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- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 281, doi. 10.1093/bfgp/elac052
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- Article
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants.
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- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 274, doi. 10.1093/bfgp/elac049
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- Article
Single-cell RNA sequencing analyses: interference by the genes that encode the B-cell and T-cell receptors.
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- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 263, doi. 10.1093/bfgp/elac044
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- Article
Advancing disease genomics beyond COVID-19 and reducing health disparities: what does the future hold for Africa?
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- Briefings in Functional Genomics, 2023, v. 22, n. 3, p. 241, doi. 10.1093/bfgp/elac040
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- Article