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Plos One|July 11, 2015
Assessing Dissimilarity Measures for Sample-Based Hierarchical Clustering of RNA Sequencing Data Using Plasmode DatasetsPablo D Reeb, Sergio J Bramardi, Juan P SteibelFrontiers in Genetics|September 25, 2013
Evaluating statistical analysis models for RNA sequencing experimentsPablo D Reeb, Juan P SteibelTrends in Genetics : TIG|March 19, 2013
Molecular advances in QTL discovery and application in pig breedingCatherine W Ernst, Juan P SteibelGenetics, Selection, Evolution : GSE|March 6, 2021
Phenomes: the current frontier in animal breedingMiguel Pérez-Enciso, Juan P SteibelStatistical Applications in Genetics and Molecular Biology|May 2, 2006
On reference designs for microarray experimentsJuan P Steibel, Guilherme J M RosaGenetics|June 23, 2017
Genome-Wide Association Analyses Based on Broadly Different Specifications for Prior Distributions, Genomic Windows, and Estimation MethodsChunyu Chen, Juan P Steibel, Robert J TempelmanBMC Bioinformatics|April 19, 2015
A hidden Markov approach for ascertaining cSNP genotypes from RNA sequence data in the presence of allelic imbalance by exploiting linkage disequilibriumJuan P Steibel, Heng Wang, Ping-Shou ZhongEvolutionary Applications|November 24, 2016
Increases in the mean and variability of thermal regimes result in differential phenotypic responses among genotypes during early ontogenetic stages of lake sturgeon (Acipenser fulvescens)Kari J Dammerman, Juan P Steibel, Kim T ScribnerG3 (Bethesda, Md.)|May 16, 2021
Heuristic hyperparameter optimization of deep learning models for genomic predictionJunjie Han, Cedric Gondro, Kenneth Reid, et al.Biometrical Journal. Biometrische Zeitschrift|April 24, 2012
Hierarchical Bayesian modeling of heterogeneous cluster- and subject-level associations between continuous and binary outcomes in dairy productionNora M Bello, Juan P Steibel, Robert J TempelmanPageof 6