بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
less function » loss function (توسيع البحث), loss functions (توسيع البحث), bessel function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
less function » loss function (توسيع البحث), loss functions (توسيع البحث), bessel function (توسيع البحث)
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Showing amino acid composition of SWEET proteins across 12 Fabaceae species.
منشور في 2022الموضوعات: -
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Distribution of seven different sugar transporters protein identified in 12 Fabaceae species.
منشور في 2022الموضوعات: -
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Table_1_Impact of Heterotopic Ossification on Functional Recovery in Acute Spinal Cord Injury.pdf
منشور في 2022"…Individuals with heterotopic ossification achieved around 40% less functional improvement over time compared to their matched counterparts, whereas neurological recovery was not altered in individuals with SCI and heterotopic ossification.…"
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Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?
منشور في 2020"…Model scoring functions were derived with these machine-learning algorithms on various training sets selected from over 3700 protein–ligand complexes in the PDBbind refined set (version 2016). …"
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MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins
منشور في 2025الموضوعات: "…mathematically exact algorithm…"
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Summary of protein-centric results obtained by different network embedding representations and corresponding functional representations based on Combinedscore, Textmining, Experimental, Database and Coexpression networks working with different classification algorithms during hold-out (Full) and homolog-removal (HR) hold-out evaluation, temporal (Full) and homolog-removal (HR) temporal validation.
منشور في 2019"…<p>Summary of protein-centric results obtained by different network embedding representations and corresponding functional representations based on Combinedscore, Textmining, Experimental, Database and Coexpression networks working with different classification algorithms during hold-out (Full) and homolog-removal (HR) hold-out evaluation, temporal (Full) and homolog-removal (HR) temporal validation.…"
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