Again, sorted trials were divided into four bins of equal trial number, where pre-stimulus entropy increased and angular distance from the mean angle decreased (i.e. lITC increased) with bin number (Fig. 4).
Subsequently and analogous to the approach used for pre-stimulus entropy, trials were sorted for increasing phase similarity and split up into four non-overlapping bins of equal trial number.
To this end, we binned trials by baseline-corrected (whole trial) pre-stimulus entropy (−0.4 to −0.1 s) into four bins of equal trial number before calculating average power and inter-trial phase coherence (ITC) in each bin (see bar graphs in Fig. 3).
Right, average spikes per touch for a binned range of touch property (10 bins with equal number of touches) (black line), 95% confidence interval (grey line).
In these bins (with equal number of genes), 5.7, 5.2, and 3.1% of genes are Mendelian disease genes and 5.5, 8.0, and 3.7percentt of genes are complex disease genes.
PsN currently incorporates several binning approaches: manual bin specification (-bin_array=x,y,z,etc), binning into an equal number of data points per bin (-bin_by_count=1 –no_of_bins=#), or spacing the bins equally over the x-axis (-bin_by_count=0, -no_of_bins=#).
We then divided each chromosome into bins with an equal number of simulated reads.
In order to help in reading the trend of point clouds (in gray in Fig. 10), the different events were gathered in ten magnitude bins of equal size (i.e., same number of points), for each of which the mean and standard deviations are plotted in color in Fig. 10.
For data sets in which each gene pair is associated with a continuous score (e.g., correlation coefficient, mutual information, etc)., we calculated LLS scores for bins containing equal numbers of gene pairs.
To calculate the power for the TaqMan real-time PCR platform for genes with different expression levels, Ct values of all assays in the three tissues were sorted and partitioned into four bins with equal numbers of assays.
