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using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
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Table 4_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
Published 2025“…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …”
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Table 5_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
Published 2025“…However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …”
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Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.
Published 2024“…<p>Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms.…”
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Supplemental files to the study "Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins"
Published 2025“…An open question is the ability of machine-learning approaches to predict enzymatic functions unseen in the training sets. Using a set of <i>E. coli</i> unknowns, we evaluated the current state-of-the-art machine-learning approaches and found that these methods currently lack the ability to integrate scientific reasoning into their prediction algorithms. …”
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Quantum Computing and peptide folding
Published 2024“…<p dir="ltr">The work "Peptide Folding with Quantum CVaR-VQE Algorithm" represents a significant advancement in the field of computational biology, particularly in the challenging domain of protein folding. …”
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Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks
Published 2025“…<p dir="ltr">We report on the integration of three methods that are computationally efficient enough to predict, on a proteome-wide scale, whether two proteins are likely to form a binary complex. The methods include PrePPI, which uses three-dimensional structure information as a basis for predictions, Topsy-Turvy, which analyzes sequences using a protein language model, and ZEPPI, which uses evolutionary information to evaluate protein-protein interfaces. …”
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WCST scores and protein expression levels.
Published 2025“…This study investigated the association between serum protein expression profiles and cognitive variability in a healthy Thai population using machine learning algorithms. …”
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Compare NC versus the number of routers using WOA algorithm with different methods.
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Compare NC versus the number of routers using MVO algorithm with different methods.
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Compare NC versus the number of clients using WOA algorithm with different methods.
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