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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm i » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
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Algorithm results based on FE simulated likelihood functions.
Published 2020“…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”
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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data
Published 2022Subjects: -
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The ALO algorithm optimization flowchart.
Published 2024“…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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The IALO algorithm solution flowchart.
Published 2024“…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy
Published 2024“…</p> <p>The study employs a combination of in silico algorithms to analyze 82 variants of unknown clinical significance of GABRD gene sourced from the ClinVar database. …”
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Detailed information of benchmark functions.
Published 2024“…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”
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Algorithm pseudocode.
Published 2025“…In order to improve the clarity and visual effect of product appearance design, a visual edge feature enhancement method for product appearance design images based on an improved Retinex algorithm is proposed. …”
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Efficient algorithms to discover alterations with complementary functional association in cancer
Published 2019“…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”
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