Sentence examples for generated as a matrix from inspiring English sources
The raw data are generated as a matrix, in which each column represents one sample and each row, one probeset.
Later, a random binary matrix with the same size as that of the parents is generated as a mask matrix.
The results of the five independent runs were integrated using the CLUMPP software [ 42] and then generated as a Q-matrix for further association mapping.
For a latent error component on the logit (M-value) scale of measurement, we set q = 2 and generated the elements of the matrix in (3) as standard normal variables, while the corresponding matrix was generated as, with the elements of the matrix generated as standard normal variables and.
The TNT program generated as outfile a matrix showing presence/absence of reciprocal monophyly for each of the simulated demes.
Each row of the cell proportion matrix was generated as, where the dispersion parameter resulted in biologically plausible variation in cell proportions for a specimen such as blood,, and was a simulation parameter controlling the strength of the phenotype effect on cell mixture.
S is generated as a random T×M unitary matrix following the isotropic distribution.
A genetic linkage map G for chromosome C was generated as a n × n matrix, where n is the total number of bins in C, and the value G ij corresponds to the average of SGA-based genetic distances for query-array gene pairs where queries belong to bin i and arrays belong to bin j.
A flame-structure regime map for the CAP/oxy-fuel matrix interaction flame is generated as a function of oxy-fuel matrix thickness and pressure using high-speed video imaging analysis.
We selected K = 10, which had the highest ln P(D), as the number of subpopulations in the Q matrix generated as a covariate in association analysis.
The process r has been generated as a stationary Markov chain with transition matrix 0. 9 0. 1 0. 1 0. 9, in which case P ( r ( t ) = 0 ) = P ( r ( t ) = 1 ) = 1 2. On the corresponding data set with r Markov, our separation method has been performed both in the case where r is modeled as i.i.d. and in the case where r is modeled as a Markov chain.
