Differential expression of single‐cell RNA‐seq data using Tweedie models

Author:

Mallick Himel1ORCID,Chatterjee Suvo2,Chowdhury Shrabanti3,Chatterjee Saptarshi4,Rahnavard Ali5,Hicks Stephanie C.6

Affiliation:

1. Biostatistics and Research Decision Sciences Merck & Co., Inc., Rahway Rahway New Jersey USA

2. Epidemiology Branch, Division of Intramural Population Health Research Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health Bethesda Maryland USA

3. Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology Icahn School of Medicine at Mount Sinai New York New York USA

4. Department of Statistics, Data and Analytics Eli Lilly & Company, Indianapolis Indianapolis Indiana USA

5. Computational Biology Institute, Department of Biostatistics and Bioinformatics Milken Institute School of Public Health, The George Washington University Washington, DC USA

6. Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

Funder

Bill and Melinda Gates Foundation

Division of Environmental Biology

National Human Genome Research Institute

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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