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Glen_b
Glen_b
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Hi I have a count data (basically histone modification data) from a sample. 

The counts represents number of reads falling into each genomic region. 

I need to divide my data into low|medium|high$\text{low|medium|high}$ based on the number of counts. 

What method should I use in order to get the most statistically sound result.?

Hi I have a count data (basically histone modification data) from a sample. The counts represents number of reads falling into each genomic region. I need to divide my data into low|medium|high based on the number of counts. What method should I use in order to get the most statistically sound result.

I have count data (basically histone modification data). 

The counts represents number of reads falling into each genomic region. 

I need to divide my data into $\text{low|medium|high}$ based on the counts. 

What method should I use in order to get the most statistically sound result?

Made title consistent with question
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Alecos Papadopoulos
Alecos Papadopoulos
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How to discretizecategorize count data

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saad khan
saad khan
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How to discretize count data

Hi I have a count data (basically histone modification data) from a sample. The counts represents number of reads falling into each genomic region. I need to divide my data into low|medium|high based on the number of counts. What method should I use in order to get the most statistically sound result.