scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics Long Description (required)
The R package scDesign3 is an all-in-one single-cell data simulation tool by using reference datasets with different cell states (cell types, trajectories or and spatial coordinates), different modalities (gene expression, chromatin accessibility, protein abundance, DNA methylation, etc), and complex experimental designs. The transparent parameters enable users to alter models as needed; the model evaluation metrics (AIC, BIC) and convenient visualization function help users select models spatially resolved transcriptomics, spatial omics, single-cell https://github.com/SONGDONGYUAN1994/scDesign3 dongyuansong@ucla.edu
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 37169966 ],
Song D, Wang Q, Yan G, Liu T, Sun T, Li JJ ,
scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics. ,
Nat Biotechnol ,
02-01-2024 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=37169966, Primary Citation