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TP53 with a damage value of 23 and COL3A1 with a damage value of 21 played a crucial role in the gene coexpression networks.
TGIF2 was differentially expressed (P-value < 1.43 × 10-7) and had a damage value of 24.
EIF4A1 was over expressed in tumor tissue (P-value < 5.09 × 10-6) and had a damage value of 22.
RAP1GDS1 was under expressed in GBM tissue samples (P-value < 4.4 × 10-7) and had a damage value of 18 in the coexpression network.
Interestingly it was observed that TP53 had a damage value of 23, but was only connected with two up regulated genes (TGIF2 and EIF4A1).
Under expressed TRIM8 (P-value < 3.77 × 10 -6) with a damage value of 29 was negatively regulated by over expressed mir-629 (P-value < 2.02 × 10-7).
Similar(51)
A critical damage value is derived in this paper to complete the damage criterion for fatigue life prediction.
Conventional approaches assume that these functions are error-free and provide a single estimated damage value.
To identify the most important genes in the coexpression network, we used the damage value of a node as a measure to rank the importance of a node.
Similar to the gene coexpression network, we use the damage value of a node as a robustness measure to rank the importance of a miRNA in the miRNA coexpression network.
A possible integration of the damage value with the performance level was proposed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com