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Toxicological Sciences : an Official Journal of the Society of Toxicology|September 19, 2024
An in vitro and machine learning framework for quantifying serum albumin binding of per- and polyfluoroalkyl substancesHannah M Starnes, Adrian J Green, David M Reif, et al.
Reproductive Toxicology (Elmsford, N.Y.)|May 2, 2016
Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structureGuozhu Zhang, Skylar Marvel, Lisa Truong, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 10, 2015
An Independent Filter for Gene Set Testing Based on Spectral EnrichmentH Robert Frost, Zhigang Li, Folkert W Asselbergs, et al.
Briefings in Bioinformatics|February 7, 2012
Measuring the microbiome: perspectives on advances in DNA-based techniques for exploring microbial lifeJames A Foster, John Bunge, Jack A Gilbert, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 21, 2013
Statistical epistasis networks reduce the computational complexity of searching three-locus genetic modelsTing Hu, Angeline S Andrew, Margaret R Karagas, et al.
Biology of Sex Differences|January 24, 2026
Integrative microRNA and transcriptome analysis reveals sex-specific molecular divergence in human bladder cancerYizhou Wang, Priyanka Bhandary, Jason H Moore, et al.
Neuro-Oncology|October 11, 2017
A recombinant lentiviral PDGF-driven mouse model of proneural glioblastomaGilbert J Rahme, Bryan W Luikart, Chao Cheng, et al.
Current Pharmaceutical Design|July 23, 2003
Gene expression profiles in human autoimmune diseaseThomas M Aune, Kevin Maas, Jason H Moore, et al.
Biodata Mining|December 24, 2015
Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networksTing Hu, Angeline S Andrew, Margaret R Karagas, et al.
Genetic Epidemiology|May 4, 2021
The Translational Machine: A novel machine-learning approach to illuminate complex genetic architecturesKathleen D Askland, David Strong, Marvin N Wright, et al.
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