Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Compu...
Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Computing
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Basel: MDPI AG
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English
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Basel: MDPI AG
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With recent advancements in computational biology, high throughput Next-Generation Sequencing (NGS) has become a de facto standard technology for gene expression studies, including DNAs, RNAs, and proteins; however, it generates several millions of sequences in a single run. Moreover, the raw sequencing datasets are increasing exponentially, doubli...
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Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Computing
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TN_cdi_doaj_primary_oai_doaj_org_article_02a5c0699ca9420c82ec04c0cd214df7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_02a5c0699ca9420c82ec04c0cd214df7
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13127059
