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omniCLIP is a Bayesian peak caller that can be applied to data from CLIP-Seq data to detect regulatory elements in RNAs.
Machine Learning, FOS: Computer and information sciences, eCLIP, CLIP-Seq, Bioinformatics, iCLIP, Protein-RNA Interactions, HITS-CLIP, Generalized Linear Models, PAR-CLIP
Machine Learning, FOS: Computer and information sciences, eCLIP, CLIP-Seq, Bioinformatics, iCLIP, Protein-RNA Interactions, HITS-CLIP, Generalized Linear Models, PAR-CLIP
| 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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