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The expression levels of 1771 genes that overlapped in the ST array and NextSeq data were converted to log2, and the batch effects between the data set and platform were removed using the 'calcResiduals' function of the pcbcStats package.
The significance of the association between the data set and the canonical pathway was measured in two ways: (1) A ratio of the number of genes from the data set that map to the pathway, divided by the total number of molecules that map to the canonical pathway.
Then, the k nearest points to the query can be simply searched by sorting the distances in ascending order and retrieving those k points that have the smallest distance between the data set and query.
It is complicated to directly compare between the data set in present study with our previous study [19].
The significance of the association between the data set and the canonical pathway was measured in 2 ways.
The software calculates the significance of the association between the data set, in this case all genes with a P change value less than 0.00025, and genes assigned to canonical pathways in the Ingenuity Knowledge Base.
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We then compared the simulated curve between the ADA data set and the ARA data set.
However, major features were distinguished between the data sets.
Other data confirmed the close parallelism between the data sets.
Figure 2b highlights the functional class enrichments between the data sets.
Confused by the discrepancy between the data sets, DeNino went back to Poehlman and asked to see the patient files.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com