HiCNorm is a parametric model to remove systematic biases in the raw Hi-C contact maps. It relates chromatin interactions and systemic biases at the desired resolution level,resulting in a simple, yet accurate normalization procedure. Compared to the exiting Hi-C normalization method, our model has only a few parameters, is much easier to implement, can be interpreted intuitively, and achieves higher reproducibility in real Hi-C data
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Bioinformatics. 2012 Dec 1;28(23):3131-3. doi: 10.1093/bioinformatics/bts570. Epub 2012 Sep 27.
HiCNorm: removing biases in Hi-C data via Poisson regression.
Hu M1, Deng K, Selvaraj S, Qin Z, Ren B, Liu JS.