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Forest of Imputation Trees (FITs) is a method to impute highly sparse and noisy data-sets from single cell epigenome profiling.

FITs work in two phases. It has been made so to handle very large read-count matrixes and to get better imputation. In phase-1 it builds multiple imputation trees and from every tree it extracts 1 or 2 imputed version of original read-count matrix. One can run phase-1 of FITs in parallel processing mode also, where multiple trees can be build using several processors.After phase-1, the phase-2 part of FITs is used to accumulate the most relevant imputed version for every cell.

 

Download FITs

Standalone executable code for Linux

Python code

Matlab Code

 

Other codes : using UniPath and chromatin interaction prediction after application of FITs