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Arxiv|November 22, 2024
BAMITA: Bayesian Multiple Imputation for Tensor ArraysZiren Jiang, Gen Li, Eric F LockBioinformatics (Oxford, England)|October 26, 2019
Bayesian GWAS with Structured and Non-Local PriorsAdam Kaplan, Eric F Lock, Mark Fiecas, et al.Cancer Informatics|March 3, 2020
A Pan-Cancer and Polygenic Bayesian Hierarchical Model for the Effect of Somatic Mutations on SurvivalSarah Samorodnitsky, Katherine A Hoadley, Eric F LockBiostatistics (Oxford, England)|January 25, 2017
Discriminating sample groups with multi-way dataTianmeng Lyu, Eric F Lock, Lynn E EberlyComputational Statistics & Data Analysis|July 1, 2024
Bayesian Simultaneous Factorization and Prediction Using Multi-Omic DataSarah Samorodnitsky, Chris H Wendt, Eric F LockThe British Journal of Mathematical and Statistical Psychology|January 24, 2024
Identifiability and estimability of Bayesian linear and nonlinear crossed random effects modelsCorissa T Rohloff, Nidhi Kohli, Eric F LockBMC Bioinformatics|June 16, 2022
A hierarchical spike-and-slab model for pan-cancer survival using pan-omic dataSarah Samorodnitsky, Katherine A Hoadley, Eric F LockArxiv|November 24, 2021
Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking-An Application to COVID-19 severityJiuzhou Wang, Sandra E SafoThe Annals of Applied Statistics|May 4, 2022
BIDIMENSIONAL LINKED MATRIX FACTORIZATION FOR PAN-OMICS PAN-CANCER ANALYSISEric F Lock, Jun Young Park, Katherine A HoadleyBioinformatics Advances|July 19, 2024
Deep IDA: a deep learning approach for integrative discriminant analysis of multi-omics data with feature ranking-an application to COVID-19Jiuzhou Wang, Sandra E SafoPageof 9