Replication of our time series data has allowed us to show that the timing of transcriptional activation is reproducible between independent experiments (Fig. 4A), which suggests that activation times may provide a better basis for understanding gene regulatory activity than would changes in transcript levels between more widely separated time points.
Scanning replication of five times was done for each sample.
To mimic the human brain, the fundamental challenges are the replication of the time-dependent plasticity of synapses and the achievement of the high connectivity in biological neuron networks, where the ratio between synapses and neurons is around 104.
Instead, we implemented 2-fold cross validation with a replication of 100 times and listed the top 3 one- and two-way models in the first column of Tables 4 and 5, respectively.
We therefore present evidence for another aspect, beyond initiation and origin timing, of the puzzle that is the understanding of regulation of DNA replication in time and space.
Thus, our data indicate that Hat1p becomes associated with origins of replication around the time of origin firing and later with non-origin sequences, such as Cdc45p, suggesting that Hat1p also associates with advancing replication forks.
The population size was approximately 10, and ν = 50 (thus, the population size is far smaller than the number of possible sequences), and f d = 0.9 × 0.99 d (the probability of replication per time step).
Six hours was therefore chosen as the time between inoculation and removal of extracellular bacteria for the subsequent study of intracellular replication over time.
As represented in the three panels of Figure 3A, we can observe a pattern of viral replication throughout time for all different shRNA clones.
Intervention with antiretroviral treatment (ART) and control of viral replication at the time of HIV-1 seroconversion may curtail cumulative immunological damage.
This type of model has achieved a huge popularity in the replication of non-Gaussian time series in several areas, such as biomedicine, climate, engineering, and physics (a few examples can be found in [28] [35]).
