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For each bootstrap we analyzed DEGs, pathways PEA-DEGs, and a matrix score for pairs of pathways.
As usual, one is faced with a choice of threshold weight matrix score for selecting putative sites in the yeast genome.
We thus found a subset of pathways enriched from DEGs and, starting from a matrix containing mean of genes for each pathway (3rd step), we created a matrix score for each pair of pathways (4th step).
A training dataset was used for each bootstrap in order to find a matrix score for the top 10 pairs of pathways with the best AUC value between NS versus BC samples (Random Forest classification).
Putative motifs recognized by transcription factors (TF) related to ABA, defense and stress, fungal elicitors, gibberellins, jasmonic acid and salicylic acid were detected using PlantCare program (Selected Matrix score for all elements ≥ 5).
TFLOC uses a position-specific scoring matrix (PSSM) algorithm to identify putative TFBSs across multiple genome alignment files through the generation of a similarity matrix score for each putative position [5].
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We were permitted only to corroborate matrix scores for the 196 characters published in [3] because the †raoellid fossils are still being examined by Thewissen and colleagues.
Of these genes, six were identified as having highly significant matrix scores for the presence of an HRE (p < 0.001) (Fig. 2).
Two user-defined parameters, Random TFBS occurrence and Background sequence, are combined with the TFBS frequency tables to define a matrix score threshold for each matrix.
In order to reduce false positives, the resulting matrix similarity score for a transcription factor was compared to the optimized threshold value which is individualized for individual transcription factor binding site matrix [ 58].
The most drastic difference between matrix scores was observed for Lysine (K) and Arginine (R) at the C-terminus.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com