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The transition probabilities P(n|m) of the Markov matrix (Table 1) give the probability that a network in attractor m jumps to attractor n in the presence of noise, and are calculated by dividing the number of counts in each matrix entry by the total number of configurations that started in the corresponding matrix row.
Multiply the middle matrix entry by the lower-right entry.
Similar(57)
We compared Isolated and Open system matrix entries by examining proportional changes in each matrix entry (Isolated/Open −1).
(A11)- (A12), for each matrix entry was performed by applying the modified Beer-Lambert Law at the two wavelengths [ 45].
Accordingly, all of the A inferred activating nodes V+={ v a : a∈1,…, A, A< N} of a target node v j, represented by an adjacency matrix entry ϕ a j =1, and v j itself were connected via OR operators.
The data matrix is optionally double-centered by subtracting from each matrix entry the mean value calculated over the corresponding matrix row and the mean value calculated over the matrix column, followed by adding the global mean value computed over all matrix entries.
If not set, the matrix entries are separated by whitespace.
Matrix entries are ordered by their corresponding SE or CE label.
To account for this problem, we also compared 9 of the 13 matrix entries after scaling them by the sensitivities of the average stage-classified matrix.
The control functions are specified by the matrix entries A p q and B p q which are assumed to be real.
Note that the generators w 1, w 2, and w 3 can be described using the Hamiltonian of Eq. (18) while keeping the control functions given by the matrix entries A p q and B p q in the real range, see Appendix B for details.
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