The most interesting aspect of variables in this system is their ; unlike older models that required dozens of inputs, EAGLE uses only six core features to predict interactions with high accuracy:
The physical distance between the enhancer and the gene's transcription start site.
: Likely refers to the EAGLE tool or its associated database, EnhancerAtlas . theagle.Cely.1.var
Measures how closely the activity of an enhancer aligns with the expression patterns of a target gene.
These track the number of other enhancers (EWS) or genes (GWS) located in the "window" between the enhancer and gene of interest, accounting for potential interference or competition. The most interesting aspect of variables in this
: Likely represents the first variable or a specific variant in a ranked list of potential regulatory interactions.
: This often denotes cell-type specificity , a core feature of EAGLE which allows it to distinguish between interactions that only occur in certain tissues. These track the number of other enhancers (EWS)
Based on the gene's FPKM score (from RNA-seq data), representing the transcriptional activity level in specific tissues.