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CMO is a gene-level association test that can identify many significant and novel genes ignored by many benchmark methods. Specifically, CMO integrates genetically regulated DNAm in enhancers, promoters, and the gene body to identify additional disease-associated genes. This repo contains the necessary models for CMO test. The corresponding software: https://github.com/ChongWuLab/CMO Thank you for using this software! Let me (cwu3@fsu.edu) know if you have any questions!
DNA methylation, Gene-level analysis, Integrative analysis, Information Systems not elsewhere classified, Plant Biology, Cell Biology, Enhancer-promoter interaction, Mathematical Sciences not elsewhere classified, Environmental Sciences not elsewhere classified, Genetics, Molecular Biology, Neuroscience, Cancer, Biological Sciences not elsewhere classified, Statistical genetics
DNA methylation, Gene-level analysis, Integrative analysis, Information Systems not elsewhere classified, Plant Biology, Cell Biology, Enhancer-promoter interaction, Mathematical Sciences not elsewhere classified, Environmental Sciences not elsewhere classified, Genetics, Molecular Biology, Neuroscience, Cancer, Biological Sciences not elsewhere classified, Statistical genetics
citations 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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