Positional weight matrices have sufficient prediction power for analysis of noncoding variants [version 2; peer

HIGHLIGHTS

  • who: PSSM and colleagues from the Rhodes University, Makhanda, South Africa have published the Article: Positional weight matrices have sufficient prediction power for analysis of noncoding variants [version 2; peer, in the Journal: (JOURNAL)
  • what: The authors show that the careful selection of PWMs of many TFs from a public database quantitatively explains the differential TF binding to allelic variants with reliability comparable to deltaSVM. The aim of the study is by no means to undermine the necessity of complex TFBS models with dependent positional contributions.

SUMMARY

    Yan et_al3 presented a . . .

     

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