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Statistical Applications in Genetics and Molecular Biology|July 25, 2023
Improving the accuracy and internal consistency of regression-based clustering of high-dimensional datasetsBo Zhang, Jianghua He, Jinxiang Hu, et al.
Statistical Applications in Genetics and Molecular Biology|November 18, 2019
EBADIMEX: an empirical Bayes approach to detect joint differential expression and methylation and to classify samplesTobias Madsen, Michał Świtnicki, Malene Juul, et al.
Statistical Applications in Genetics and Molecular Biology|February 21, 2020
Joint variable selection and network modeling for detecting eQTLsXuan Cao, Lili Ding, Tesfaye B Mersha
Statistical Applications in Genetics and Molecular Biology|February 29, 2020
Identification of supervised and sparse functional genomic pathwaysFan Zhang, Jeffrey C Miecznikowski, David L Tritchler
Statistical Applications in Genetics and Molecular Biology|January 23, 2019
Sample size calculations for the differential expression analysis of RNA-seq data using a negative binomial regression modelXiaohong Li, Dongfeng Wu, Nigel G F Cooper, et al.
Statistical Applications in Genetics and Molecular Biology|December 28, 2021
Inference of genetic regulatory networks with regulatory hubs using vector autoregressions and automatic relevance determination with model selectionsChi-Kan Chen
Statistical Applications in Genetics and Molecular Biology|March 27, 2017
A Bayesian semiparametric factor analysis model for subtype identificationJiehuan Sun, Joshua L Warren, Hongyu Zhao
Statistical Applications in Genetics and Molecular Biology|October 7, 2019
Stability selection for lasso, ridge and elastic net implemented with AFT modelsMd Hasinur Rahaman Khan, Anamika Bhadra, Tamanna Howlader
Statistical Applications in Genetics and Molecular Biology|June 19, 2015
Outlier reset CUSUM for the exploration of copy number alteration dataYinglei Lai, Joseph L Gastwirth
Statistical Applications in Genetics and Molecular Biology|May 5, 2015
Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studiesYun Li, George T O'Connor, Josée Dupuis, et al.
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