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algorithms linear » algorithms under (Expand Search), algorithms less (Expand Search), algorithm lennard (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
linear function » liver function (Expand Search), link function (Expand Search)
algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
fc function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets.
Published 2023“…<p>Values of the fitness function for linear kernel LS-SVM algorithm run on various companies’ datasets.…”
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Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.
Published 2024“…(D) Heatmap of the performance of the 3-group Metropolis under increasing intra-group heterogeneity (<i>σ</i><sub><i>τ</i></sub>) and inter-group promiscuity (<i>ξ</i>) of species, to show the limitation of linear-regression-based algorithms under fuzzy ground truth groupings. …”
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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data
Published 2022Subjects: -
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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements
Published 2021“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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Non-Iterative Linear Maximization Algorithm
Published 2019“…<div>Explicit C sharp code for the Linear Optimization algorithm based on active constraints recognition. …”
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
Published 2025“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions.
Published 2024“…<p>We compare the performance of the linear-regression-based Metropolis algorithm to a more expressive version that includes quadratic terms. …”
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The optimal solution set of NYN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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The optimal solution set of HN by using different algorithms.
Published 2022Subjects: “…evolutionary genetic algorithm…”