Search alternatives:
codon optimization » wolf optimization (Expand Search)
well optimization » wolf optimization (Expand Search), whale optimization (Expand Search), field optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based well » based cell (Expand Search), based web (Expand Search), based all (Expand Search)
codon optimization » wolf optimization (Expand Search)
well optimization » wolf optimization (Expand Search), whale optimization (Expand Search), field optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based well » based cell (Expand Search), based web (Expand Search), based all (Expand Search)
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Optimal ALARM BN discovered by CausNet.
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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DataSheet1_Comprehensive analysis of immune-related gene signature based on ssGSEA algorithms in the prognosis and immune landscape of hepatocellular carcinoma.ZIP
Published 2022“…</p><p>Results: Immune cluster analysis based on ssGSEA could well distinguish the TIME characteristics of patients with HCC. …”
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DataSheet_1_Trans-population graph-based coverage optimization of allogeneic cellular therapy.xlsx
Published 2023“…We propose here a solution to this problem, and test whether it would be more expensive to recruit additional donors or to prevent class I or class II HLA expression through gene editing.</p>Study design<p>We developed an optimal coverage problem, combined with a graph-based algorithm to solve the donor selection problem under different, clinically plausible scenarios (having different HLA matching priorities). …”
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DataSheet_1_Trans-population graph-based coverage optimization of allogeneic cellular therapy.xlsx
Published 2023“…We propose here a solution to this problem, and test whether it would be more expensive to recruit additional donors or to prevent class I or class II HLA expression through gene editing.</p>Study design<p>We developed an optimal coverage problem, combined with a graph-based algorithm to solve the donor selection problem under different, clinically plausible scenarios (having different HLA matching priorities). …”
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DataSheet_1_Trans-population graph-based coverage optimization of allogeneic cellular therapy.xlsx
Published 2023“…We propose here a solution to this problem, and test whether it would be more expensive to recruit additional donors or to prevent class I or class II HLA expression through gene editing.</p>Study design<p>We developed an optimal coverage problem, combined with a graph-based algorithm to solve the donor selection problem under different, clinically plausible scenarios (having different HLA matching priorities). …”
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FDR and Runtime for ALARM.
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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FDR ().
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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FDR ().
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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Average Runtime in seconds.
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”
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ALARM networks with different partial orderings.
Published 2025“…<div><p>In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks with parent set constraints. …”