ADDIT (Accurate Data-Driven Imputation Technique) is a tool for genotype imputation. The ADDIT algorithm consists of two data-driven methods that can manage data from both model and non-model organisms. The model version of the algorithm uses statistical inference, and the non-model version employs supervised learning.
Choudhury O, Chakrabarty A, Emrich SJ "Highly Accurate and Efficient Data-Driven Methods for Genotype Imputation." IEEE/ACM Trans Comput Biol Bioinform. 2019 Jul-Aug;16(4):1107-1116. 10.1109/TCBB.2017.2708701. Epub 2017 May 26. https://doi.org/10.1109/TCBB.2017.2708701
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