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algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
which function » beach function (Expand Search)
algorithm api » algorithm ai (Expand Search), algorithm a (Expand Search), algorithm i (Expand Search)
api function » a function (Expand Search), i function (Expand Search), adl function (Expand Search)
algorithm cl » algorithm co (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
cl function » l function (Expand Search), cell function (Expand Search), cep function (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
which function » beach function (Expand Search)
algorithm api » algorithm ai (Expand Search), algorithm a (Expand Search), algorithm i (Expand Search)
api function » a function (Expand Search), i function (Expand Search), adl function (Expand Search)
algorithm cl » algorithm co (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
cl function » l function (Expand Search), cell function (Expand Search), cep function (Expand Search)
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Significantly enriched Gene Ontology (GO) terms among the 512 genes showing significant results in the all ancestry TWAS. Enrichment analyses were conducted using the multi-query in g:Profiler [16]. Columns include source, term name, GO id, and adjusted p-values across each phenotype definition. P-values were adjusted to maintain an experiment-wide type 1 error rate of 0.05 using the g:SCS algorithm which accounts for the dependent structure of functionally annotated gene sets.
Published 2025“…P-values were adjusted to maintain an experiment-wide type 1 error rate of 0.05 using the g:SCS algorithm which accounts for the dependent structure of functionally annotated gene sets.…”
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Flowchart of DAPF-RRT algorithm.
Published 2025“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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Performance comparison of different algorithms.
Published 2025“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”
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The ALO algorithm optimization flowchart.
Published 2024“…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …”
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The IALO algorithm solution flowchart.
Published 2024“…The total objective function was 1542.54 $/hr, which was an average reduction of 53.55 $/hr compared to the other five algorithms. …”
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Benchmarking functions.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”