A random dataset of uniformly distributed pseudo relative locations was generated for each amino acid using the "runif" function in R. The randomly generated datasets had the same length as their respective observed dataset.
The datasets are listed in Table 1.> We derived nine datasets of pair-ended reads by extracting a progressively increasing part of Dataset S, uniformly occupying the range from approximately 10 to 100 Gb, which are referred to as Datasets S1-S9.
A random dataset of uniformly distributed pseudo relative locations was generated for each poly(A) or poly(T) HTs with 5 to 8 bases using the "runif" function in R. The randomly generated datasets had the same length as their respective observed dataset.
As JTT + Γ4 was chosen as the optimal model for most of the datasets, we uniformly applied this model to compare the results between the different datasets.
Large-scale datasets with uniformly collected dMRI data are also growing in size, and will facilitate the evaluation of these models and methods [42].
In our previous study, we used the ChromHMM algorithm to systematically integrate ChIP-seq histone modification and CTCF datasets and uniformly profile chromatin states across ten diverse cell types.
LincRNAs in K562 cells, whether they were annotated or not in both datasets, were uniformly and prevalently distributed at every chromosome in human genome, even if most of the transcripts were low-abundant (FPKM <1).
In our estimation, we approximate E[ S] to be the number of genes identified to have an age-dependent pattern (either DE or DV) based on the threshold α, and we estimate E[ F] as the average number of genes identified to have an age-dependent pattern in m permuted datasets, by uniformly permuting the age associated with samples without altering the expression data.
The tweets in the third dataset are a uniformly sampled subset of our environmental tweets, therefore highly domain-specific.
On average, training of the similarity functions over all 105 functional classes on the yeast dataset using a uniformly weighted network input saturated after 0.9 million iterations (triplets) and took 15 minutes on a single CPU of a modern PC running Linux.
