Kenneth Lamar Lange

Affiliations: 
University of California, Los Angeles, Los Angeles, CA 
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"Kenneth Lange"
Mean distance: 16.31 (cluster 45)
 

Parents

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Gian-Carlo Rota grad student 1971 (MathTree)

Children

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Michael L. Boehnke grad student UCLA (MathTree)
Neil Risch grad student UCLA
Daniel Weeks grad student 1988 UCLA (Computational Biology Tree)
Eric E. Schadt grad student 2002 UCLA
Gary Chen grad student 2006 UCLA
Lara E. Bauman grad student 2007 UCLA
Angela P. Presson grad student 2007 UCLA
Jason E. Aten grad student 2008 UCLA
Kristin L. Ayers grad student 2008 UCLA
Aaron G. Day-Williams grad student 2009 UCLA
Mary E. Sehl grad student 2009 UCLA
John M. Ranola grad student 2013 UCLA
Darren Kessner grad student 2014 UCLA
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Publications

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Chu BB, Ko S, Zhou JJ, et al. (2023) Multivariate Genome-wide Association Analysis by Iterative Hard Thresholding. Bioinformatics (Oxford, England)
Chu BB, Sobel EM, Wasiolek R, et al. (2021) A fast Data-Driven method for genotype imputation, phasing, and local ancestry inference: MendelImpute.jl. Bioinformatics (Oxford, England)
Landeros A, Ji X, Lange K, et al. (2021) An examination of school reopening strategies during the SARS-CoV-2 pandemic. Plos One. 16: e0251242
Ji SS, German CA, Lange K, et al. (2021) Modern simulation utilities for genetic analysis. Bmc Bioinformatics. 22: 228
Stutz TC, Landeros A, Xu J, et al. (2021) Stochastic simulation algorithms for Interacting Particle Systems. Plos One. 16: e0247046
Khan AH, Lin A, Wang RT, et al. (2020) Pooled analysis of radiation hybrids identifies loci for growth and drug action in mammalian cells. Genome Research
Landeros A, Ji X, Lange KL, et al. (2020) An Examination of School Reopening Strategies during the SARS-CoV-2 Pandemic. Medrxiv : the Preprint Server For Health Sciences
Chu BB, Keys KL, German CA, et al. (2020) Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity. Gigascience. 9
Liu CC, Shringarpure S, Lange K, et al. (2020) Exploring Population Structure with Admixture Models and Principal Component Analysis. Methods in Molecular Biology (Clifton, N.J.). 2090: 67-86
Zhou H, Hu L, Zhou J, et al. (2019) MM Algorithms For Variance Components Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 28: 350-361
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