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These are the RData objects of the processed cfMeDIP data that were used to run the machine learning analyses in "Sensitive tumour detection and classification using plasma cell-free DNA methylomes", Nature, 2018. This archive also includes the models we generated, and training and validation data matrices that people can use to fit new models and evaluate performance. These objects are to be used with the scripts and markdown at doi: 10.5281/zenodo.1242697 . The ReadMe contains descriptions.
| 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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