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In order to characterize correlation between continuous bins in an mA peak region, HEPeak utilized HMM to model the dependency.
In contrast to exomePeak, our previously developed MeRIP-seq peak calling algorithm, HEPeak models the correlation between continuous bins in an mA peak region and it is a model-based approach, which admits rigorous statistical inference.
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As the curve is continuous, bins which are in close distance to each other on the vector will stay close in the square.
Several continuous bins comprise a genomic region.
The majority of genes (six) was located on chromosome 8, in a continuous bin 8.04 – 8.06, whereas three genes each were located on chromosomes 10 (bin 10.04) and 1 (bin 1.02 and 1.06 – 1.07), respectively.
Pairwise Pearson's Product Moment Correlation Coefficients were calculated between the bins in the 2 maps.
The probabilities between bins in the same cluster will be higher than that across different clusters.
No mortality difference was observed between adjacent AVG glucose bins in the bottom of the bathtub.
Notice the bins in dataset 2 between 0.1 and 5 keV and between 6 and 7 keV.
The first uses the same number of frequency bins for all of the cliques, while the other varies the number of frequency bins in reversed mel-scales based on the measured correlation coefficients between different frequency bins.
Grain bins in Clark, South Dakota.
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