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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...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5860379/ https://ncbi.nlm.nih.gov/pubmed/29186290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx747 |
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