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ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction

Mohsen Hajiloo, Yadav Sapkota, John R Mackey, Paula Robson, Russell Greiner, Sambasivarao Damaraju
2013 BMC Bioinformatics  
Results: We propose a novel machine learning method, ETHNOPRED, which uses the genotype and ethnicity data from the HapMap project to learn ensembles of disjoint decision trees, capable of accurately predicting  ...  Conclusions: ETHNOPRED is a novel technique for producing classifiers that can identify an individual's continental and sub-continental heritage, based on a small number of SNPs.  ...  Natural Sciences and Engineering Research Council and the Alberta Innovates for Machine Learning (to RG); and the operating grants to projects from the Alberta Cancer Foundation and Canadian Breast Cancer  ... 
doi:10.1186/1471-2105-14-61 pmid:23432980 pmcid:PMC3618021 fatcat:bd5yrcux3nalrgm7f2pia6d5si

Assessing the Feasibility of Learning Biomedical Phenotype Patterns Using High-Throughput Omics Profiles

Mohsen Hajiloo
The availability of such omics profiles has raised the hope for the development of more accurate disease models that will help improve the existing clinical strategies for disease prevention, diagnosis  ...  , prognosis, and treatment.  ...  ancestry identification and population stratification correction.  ... 
doi:10.7939/r3vq2sh6r fatcat:qpqrfcctmbcrhhxmm6t5awfxwq