Skip to content

Latest commit

 

History

History
4 lines (3 loc) · 460 Bytes

File metadata and controls

4 lines (3 loc) · 460 Bytes

Bayesian-Structure-Learning-from-Multiparameter-Single-Cell-Dataset

This is a research paper implementation that focusses on learning the Bayesian Network based on the Hill Climbing heuristics and Bayesian Information Criterion Score.

Paper Reference: K. Sachs, O. Perez, D. Pe’er, D. A. Lauffenburger, and G. P. Nolan, “Causal protein-signaling networks derived from multiparameter singlecell data,” Science, vol. 308, no. 5721, pp. 523–529, 2005.