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Finally, the best model predicting log Kt:p for each tissue is chosen as the model produced by the method with the lowest MAE.
Based on this classification it can be seen that each tissue is significantly dominated by "protein metabolism" and "respiration", as would be expected.
For each modified miRNA, the mean extent of modification for each tissue is calculated from all the cDNA sequences obtained from that tissue.
Briefly, a gene can be plotted as a vector in a multi-dimensional space representing its expression in every tissue (i.e. each tissue is represented by an axis).
Based on the low number of singletons in most samples a relatively high level of transcriptome coverage is suggested but in a situation where the average number of transcripts per cell in each tissue is unknown, this cannot be confirmed.
In "Absolute," the expression level for a user's gene in each tissue is directly compared to the highest signal recorded for the given gene, with low levels of expression coloured yellow and high levels coloured red.
Similar(20)
The amount of cDNA for each tissue was confirmed with a NanoDrop spectrophotometer (Thermo Scientific, Burlington Ontario).
Photon counts for each tissue were analyzed using the Living Image 3.2 software (Perkin Elmer).
Small explants of each tissue were set up.
Each tissue was grossly evaluated in situ, and then excised, with further dissection with separate forceps and razor blades for each tissue to minimize risks for cross-contamination.
To achieve this integration, cells assemble into specialized tissues, each tissue being composed of cells and the spaces outside of the cells.
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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