Exact(6)
So putting the term x 3 in row 1 and x 4 in row 2 (as is done in the fifth matrix of the first displayed set) will not work; on the other hand, putting x 4 in row 1 and x 3 in row 2 is consistent with this partition, and leads to a collection with the desired properties.
Note that, with this partition, instead of checking the constraints on the so large number of frequent itemsets, we just need to do that on the quite small amount of closed frequent itemsets belonging to ({mathcal L}{mathcal C}{mathcal G}).
We focused this analysis on motifs for Gata2 and Gfi1/Lyl1/Sfpi1 which were down- and up-regulated respectively across the major partition (WT/FDCP/MT-I v ME-I/ME-l/MT-L) and also included motifs for Cebpa and Meis1 as controls because expression of those two factors did not correlate with this partition (Figure 3D).
The element in the vector associated with this partition is set to 1.
We assumed that with this partition, the average capacity usage of the OPD, the operating room, and the nursing ward would be independent of a group's size.
However, read4 is in conflict with this partition and there is no perfect partition for reads 1,2,3 and 4. > Therefore, in the presence of errors, we need to reconstruct the haplotypes such that some objective function is minimized.
Similar(2)
These results show that both the objectives of small variance and spatial compactness can be achieved with this partitioning mechanism.
Noteworthy, a tessellation of space is not complete with this partitioning, because regions without a dominant pro-molecule are in principle possible, albeit in general extremely small.
Related(1)
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Justyna Jupowicz-Kozak
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