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hicGAN infers super resolution Hi-C data with generative adversarial networks
MOTIVATION: Hi-C is a genome-wide technology for investigating 3D chromatin conformation by measuring physical contacts between pairs of genomic regions. The resolution of Hi-C data directly impacts the effectiveness and accuracy of downstream analysis such as identifying topologically associating d...
Tallennettuna:
| Julkaisussa: | Bioinformatics |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6612845/ https://ncbi.nlm.nih.gov/pubmed/31510693 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz317 |
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