Your browser doesn't support javascript.
loading
Differential expression of single-cell RNA-seq data using Tweedie models.
Mallick, Himel; Chatterjee, Suvo; Chowdhury, Shrabanti; Chatterjee, Saptarshi; Rahnavard, Ali; Hicks, Stephanie C.
Affiliation
  • Mallick H; Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, Rahway, New Jersey, USA.
  • Chatterjee S; 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.
  • Chowdhury S; 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.
  • Chatterjee S; Department of Statistics, Data and Analytics, Eli Lilly & Company, Indianapolis, Indianapolis, Indiana, USA.
  • Rahnavard A; Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
  • Hicks SC; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Stat Med ; 41(18): 3492-3510, 2022 08 15.
Article in En | MEDLINE | ID: mdl-35656596
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Single-Cell Analysis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Stat Med Year: 2022 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Single-Cell Analysis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Stat Med Year: 2022 Type: Article Affiliation country: United States