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scHiCNorm: a software package to eliminate systematic biases in single-cell Hi-C data
SUMMARY: We build a software package scHiCNorm that uses zero-inflated and hurdle models to remove biases from single-cell Hi-C data. Our evaluations prove that our models can effectively eliminate systematic biases for single-cell Hi-C data, which better reveal cell-to-cell variances in terms of ch...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860379/ https://www.ncbi.nlm.nih.gov/pubmed/29186290 http://dx.doi.org/10.1093/bioinformatics/btx747 |