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PyMethylProcess—convenient high-throughput preprocessing workflow for DNA methylation data
SUMMARY: Performing highly parallelized preprocessing of methylation array data using Python can accelerate data preparation for downstream methylation analyses, including large scale production-ready machine learning pipelines. We present a highly reproducible, scalable pipeline (PyMethylProcess) t...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6954637/ https://ncbi.nlm.nih.gov/pubmed/31368477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz594 |
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