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RT @NCIPhySci: Scientists @ColumbiaPSOC developed a comprehensive, unbiased model for background errors in DNA sequencing data that improve…
RT @NCIPhySci: Scientists @ColumbiaPSOC developed a comprehensive, unbiased model for background errors in DNA sequencing data that improve…
Scientists @ColumbiaPSOC developed a comprehensive, unbiased model for background errors in DNA sequencing data that improved predictions about tumor progression @SpringerPhysics https://t.co/vabDsPd5IF.
On statistical modeling of sequencing noise in high depth data to assess tumor evolution. https://t.co/QEhlZebPHu
A small note on statistical modeling of sequencing noise, where we show that in sufficiently deep DNA sequencing data, background error can be approximated by aggregating negative binomial distributions: https://t.co/NatNvjUh2f @RutgersCancer @ColumbiaMed