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The trained Avocado model for the publication "Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome" published in Genome Biology (https://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01977-6). It can impute genome-wide epigenomic experiments at 25 bp resolution for 24 assays and 127 cell types.
Avocado, Machine Learning, Functional Genomics, Imputation
Avocado, Machine Learning, Functional Genomics, Imputation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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