Simulations by kinetic Monte Carlo (KMC) techniques are presented for different distributions of occupancy values randomly allocated in space or distributed in self-similar clusters.
First, we explore distributions of occupancy (via ranked species occupancy curves), which indicate the relative occurrence of species across communities.
By contrast, a more even distribution of species occupancy is suggested by a flatter RSOC with a long, low sloped middle section, and random species occupancy is suggested by a linearly decreasing RSOC.
Because of PASTA property of M/G/1 systems, ∏x,d,k z) also presents probability distribution of buffer occupancy at arbitrary time.
For the case of finite state sub-channels, the capacity optimization problem is considered as an average reward maximizing one and it has been shown that under the constraint of stationary input policy, the channel capacity is determined by the static distribution of state occupancy probabilities.
The left column of Figure 1 shows the distribution of nucleosome occupancy of the two cell types Gm12878 and K562.
In stress conditions, the distribution of ribosome occupancy was shifted toward higher values.
Once A and Q are populated, it is straightforward to employ the quasispecies formalism in order to compute the steady state distribution of fractional occupancy of assemblies within the different distance shells.
Rank-based comparisons of expression levels were used to compare RNAPII occupancy and RNA steady state due to the different distributions of RNAPII occupancy and RNA-seq expression levels.
Since the lengths of pre-miRNA, exon and intron are different, we divided the sum of nucleosome occupancy of every pre-miRNA, exon or intron by its length, respectively, to obtain the corresponding distributions of nucleosome occupancy for each nucleotide.
