
GhmCN uses the graph structure from GC-merge (a tool able to integrate both enrichment signal with spatial genomic information) to predict gene expression and prioritize putative enhancers using 5hmC signal.
Machine Learning, FOS: Computer and information sciences, AI, Bioinformatics, FOS: Clinical medicine, Software Testing, Immunology, Graph Neural Networks
Machine Learning, FOS: Computer and information sciences, AI, Bioinformatics, FOS: Clinical medicine, Software Testing, Immunology, Graph Neural Networks
| 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). | 1 | |
| 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 |
