"iCpG-Pos: an accurate computational approach for identification of CpG ..."

Sehi Park et al. (2023)

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DOI: 10.1093/BIOINFORMATICS/BTAD474

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type: Journal Article

metadata version: 2024-03-22

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Sehi Park, Mobeen Ur Rehman, Farman Ullah, Hilal Tayara, Kil To Chong:
iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data. Bioinform. 39(8) (2023)

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