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European Journal of Human Genetics : EJHG|April 14, 2011
Gene set analysis of SNP data: benefits, challenges, and future directionsBrooke L Fridley, Joanna M BiernackaComputer Methods and Programs in Biomedicine|April 5, 2016
InterSIM: Simulation tool for multiple integrative 'omic datasets'Prabhakar Chalise, Rama Raghavan, Brooke L FridleyComputers in Biology and Medicine|January 31, 2020
Network-based integrative clustering of multiple types of genomic data using non-negative matrix factorizationPrabhakar Chalise, Yonghui Ni, Brooke L FridleyMethods in Molecular Biology (Clifton, N.J.)|March 17, 2023
A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics DataOscar Ospina, Alex Soupir, Brooke L FridleyGenetic Epidemiology|November 10, 2017
An integrative approach to assess X-chromosome inactivation using allele-specific expression with applications to epithelial ovarian cancerNicholas B Larson, Zachary C Fogarty, Melissa C Larson, et al.Seminars in Cancer Biology|August 23, 2019
Statistical genomics in rare cancerFarnoosh Abbas-Aghababazadeh, Qianxing Mo, Brooke L FridleyPlos One|November 1, 2018
Comparison of normalization approaches for gene expression studies completed with high-throughput sequencingFarnoosh Abbas-Aghababazadeh, Qian Li, Brooke L FridleyScientific Reports|October 10, 2019
Nonlinear mixed-effects models for modeling in vitro drug response data to determine problematic cancer cell linesFarnoosh Abbas-Aghababazadeh, Pengcheng Lu, Brooke L FridleyPlos One|September 24, 2010
Self-contained gene-set analysis of expression data: an evaluation of existing and novel methodsBrooke L Fridley, Gregory D Jenkins, Joanna M BiernackaMethods in Molecular Biology (Clifton, N.J.)|March 17, 2023
Statistical Methods for Integrative Clustering of Multi-omics DataPrabhakar Chalise, Deukwoo Kwon, Brooke L Fridley, et al.Pageof 46