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density function » density functional (Expand Search)
algorithm density » algorithm design (Expand Search), algorithm reality (Expand Search), algorithm website (Expand Search)
density function » density functional (Expand Search)
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Table2_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX
Published 2021“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”
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Table3_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX
Published 2021“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”
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164
Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX
Published 2021“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”
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165
Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX
Published 2021“…In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”
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Density fit example.
Published 2024“…In this work, we developed a glycan-modeling algorithm, <i>GlycanTreeModeler</i>, that computationally builds glycans layer-by-layer, using adaptive kernel density estimates (KDE) of common glycan conformations derived from data in the Protein Data Bank (PDB) and from quantum mechanics (QM) calculations. …”
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Denoising evaluation indicators for fingerprint images using different algorithms.
Published 2024Subjects: -
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Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches
Published 2025“…This study integrates conceptual density functional theory (CDFT) descriptors with explainable no-code machine learning (ML) models to predict NA mutagenicity based on Ames test results. …”
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