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Based on these considerations, we defined Mcm regulatory inhibitors as compounds that inhibited DNA unwinding of Mcm2-7 but had a negligible effect on Mcm467 or TAg at similar concentrations.
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To integrate the above considerations, we define the distance for neighboring triangles as follows: mathrm{distance}=sqrt{omega_1{d}_{mathrm{geometry}}^2+{omega}_2{d}_{mathrm{normal}}^2} (4 where d geometry and d normal denote the distance for geometry and normal, respectively, and ω 1 and ω 2 are the two importance factors for the two distances.
On the basis of those considerations, we define optimal hAS3MT activity as conditions that resulted (1) in the greatest total methylation and (2) produced the highest ratio of DMAs to MAs.
Motivated by these considerations, we define the competition profile of genes g i and g j, as (2) d ij k = e i k − e j k for 1 ≤ k ≤ m and quantify the strength of competitive interaction between g i and g j.
Considering that regulatory regions can be located either upstream or downstream of the genes under consideration, we defined the regions to be analyzed by adding flanking sequences with lengths of either 250, 500, or 1000 kb to the regions corresponding to both types of clusters, thus corresponding to regions of six different sizes (Table S4 and Table S5).
For the following consideration, we define as a closed ball in centered at and radius, and.
Taking the structure of the cooperative OFDMA network into consideration, we define the auction elements as follows: the good for sale is the total relay power, the relay is the auctioneer, and the subcarriers are the bidders.
Taking both RVM i) and PLM i) into consideration, we define a capability metric M to describe the capability of a node to be a cluster head: M i =text{RVM}(i +text{PLM}(i).
Taking both throughput and inter-cell interference into consideration, we define the utility function similar to[27]: U k l ( S k l, S − k l ) = p i k l g ii k l − ∑ l ′ = 1, l ′ ≠ l L p j k l ′ g ji k l ′ (1).
The vertical dimension of can be found by performing autocorrelation over an entire symbol (vertical correlation), where it is assumed that the orientation of subcarriers versus symbols is as depicted in Figure 2. Without taking the effects of delays and CFOs into consideration, we define the absolute value of the vertical correlation as.
For each BP and CC term under consideration, we define a functional module consisting of the proteins in the organism annotated with it.
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