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Murali-group / Beeline

BEELINE: evaluation of algorithms for gene regulatory network inference
GNU General Public License v3.0
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Update computeEarlyPrec.py #118

Closed yiqisu closed 1 month ago

yiqisu commented 1 month ago

Two changes:

  1. Added the code to calculate the random early precision (EPR), which is defined as early precision (Eprec) divided by random early precision (randomEprc), i.e., EPR = EPrec/randomEprc, where randomEprc = number of true edges / number of all possible edges.
  2. Changed the default value of parameter TFEdges (edges going out of TFs) to True for experimental scRNA-seq data evaluation.