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The parameters used were the following: maximum gene set size: 200; minimum gene set size: 5; with the mean of replicates, 10,000 iterations and full resampling.
Default parameters were used except that minimum and maximum gene set size were restricted to 5 and 300, respectively.
With a minimum gene set size of 15 and maximum gene set size of 200, 297 gene sets of the original 431 were used in the analysis.
The GSR method was used with the following parameters: maximum gene set size = 100; minimum gene set size = 5; with the mean of replicates, 100 000 iterations and full resampling.
With a minimum gene set size of 15 and maximum gene set size of 200, 3,076 gene sets out of the original 4,722 were used in the analysis.
The maximum gene set size was fixed at 1500 genes, and the minimum size fixed at 15 genes.
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Firstly, a bicluster is a maximum homogenous gene set where each gene in the bicluster should be highly or lowly expressed over all the bicluster samples.
Maximum size of gene sets was set to 500 genes and minimum gene set size was set to 15. Empirical significance values were calculated using 10,000 permutations.
Functional (C2 collection: 1456 gene sets) and gene ontology (GO) (C5 collection: 825 Biological Process Ontology gene sets, BP; 396 Molecular Function Ontology gene sets, MF; 233 Cellular Components Ontology gene sets, CC) gene sets, restricted to a minimum of 15 and a maximum of 1000 gene set size, were analyzed.
Because the NIMS score and the meet/min coefficient (ranging from 0 to 1) will both reach their maximum when the gene set of one agent is merely the subset of that of the other agent, we only investigated agent combinations with valid scores from 0 to 0.9.
The MA-kNN evaluator, shown in Algorithm 5, begins with initial assignments of the examined gene set (O), the maximum of MCC measures (maxMCC), and the maximum of AUC values (maxAUC) (line A5:1).
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