As shown in Supplementary Table 2 , these exhibit a highly significant overlap with the candidates identified through integrative methylation mapping (10/13 candidates identified by this approach (“Subtype Analysis”) were also identified through integrative methylation mapping).
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Deconvolution of haematological cancer methylation patterns reveals a predominantly non-disease related proliferation signal and uncovers true disease associated methylation changes.
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