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Biodata Mining|April 10, 2023
Automated quantitative trait locus analysis (AutoQTL)Philip J Freda, Attri Ghosh, Elizabeth Zhang, et al.Genetic Epidemiology|November 6, 2014
Genetic simulation tools for post-genome wide association studies of complex diseasesHuann-Sheng Chen, Carolyn M Hutter, Leah E Mechanic, et al.Biodata Mining|December 18, 2015
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)Rishika De, Shefali S Verma, Fotios Drenos, et al.Plos Genetics|June 20, 2017
A chromosome 5q31.1 locus associates with tuberculin skin test reactivity in HIV-positive individuals from tuberculosis hyper-endemic regions in east AfricaRafal S Sobota, Catherine M Stein, Nuri Kodaman, et al.Plos Computational Biology|December 7, 2023
Ten simple rules for managing laboratory informationCasey-Tyler Berezin, Luis U Aguilera, Sonja Billerbeck, et al.Biodata Mining|February 12, 2015
Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigmXiuzhen Huang, Steven F Jennings, Barry Bruce, et al.Nature Metabolism|March 1, 2022
Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetesMaria Fasolino, Gregory W Schwartz, Abhijeet R Patil, et al.Human Genetics|November 17, 2016
Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohortsRishika De, Shefali S Verma, Emily Holzinger, et al.Brain Imaging and Behavior|October 5, 2013
Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkersLi Shen, Paul M Thompson, Steven G Potkin, et al.Science (New York, N.Y.)|May 2, 2009
The genetic structure and history of Africans and African AmericansSarah A Tishkoff, Floyd A Reed, Françoise R Friedlaender, et al.Pageof 50