GSR: Simulator - scDD

The scDD package is not yet public.

AttributeValue
Title scDD
Short Description scDD implements a method to analyze single-cell RNA-seq Data.
Long Description scDD implements a method that analyzes single-cell RNA-seq Data by utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The software includes functions that simulate dats with patterns from negative binomial distributions.
Version 3.14
Project Started 2016
Last Release 9 years, 3 months ago
Homepagehttps://github.com/kdkorthauer/scDD
Citations Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C, A statistical approach for identifying differential distributions in single-cell RNA-seq experiments., Genome Biol, Oct. 25, 2016 [ Abstract, cited in PMC ]
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Author verificationThe basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.
Attribute CategoryAttribute
Target
Type of Simulated Data
Variations
Simulation Method
Input
Data Type
File format
Output
Data Type
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size Changes
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
Other
InterfaceCommand-line,
Development
Tested Platforms
LanguageR,
LicenseOther,
GSR Certification

Number of Primary Citations: 1

Number of Non-Primary Citations: 0

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