Before revision:  Here we develop a new data reduction method for genome-wide open chromatin data toward cell type classification. Regarding the genome as a string of 1s and 0s based on a systematically optimized set of peaks and calculating the Hamming distance enables us to quantitatively evaluate differences between samples of hematopoietic cells , classify cell types , and infer the origin of leukemic cells , potentially leading to a better understanding of leukemia pathogenesis.
After revision:  Here we develop a new data reduction method for genome-wide open chromatin data using a new data reduction method. This method regards the genome as a string of 1s and 0s based on a systematically optimized set of peaks and calculating the Hamming distance enables us to quantitatively evaluate differences between samples of hematopoietic cells , classify cell types , and infer the origin of leukemic cells , potentially leading to a better understanding of leukemia pathogenesis.