January 01, 2016 article What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment Statistical Applications in Genetics and Molecular Biology DOI: 10.1515/sagmb-2015-0011 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 24 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Sbk2, a Newly Discovered Atrium-Enriched Regulator of Sarcomere Integrity 2022 Circulation Research article Biochemistry, Genetics and Molecular Biology Congenital heart defects research Open access 17 citations Negative Binomial mixed models estimated with the maximum likelihood method can be used for longitudinal RNAseq data 2020 Briefings in Bioinformatics article Mathematics Statistical Methods and Bayesian Inference Open access 11 citations Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data 2020 Statistical Modelling article Mathematics Statistical Methods and Bayesian Inference Open access 5 citations 3 results References 0