SIMBA v1.1 – SIngle-cell eMBedding Along with features

SIMBA v1.1

:: DESCRIPTION

SIMBA is a method to embed cells along with their defining features such as gene expression, transcription factor binding sequences and chromatin accessibility peaks into the same latent space.

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::DEVELOPER

Pinello Lab.

:: SCREENSHOTS

N/a

:: REQUIREMENTS

  • Linux
  • R

:: DOWNLOAD

SIMBA

:: MORE INFORMATION

Citation

Preprint: Huidong Chen, Jayoung Ryu, Michael E. Vinyard, Adam Lerer & Luca Pinello.
“SIMBA: SIngle-cell eMBedding Along with features. bioRxiv, 2021.10.17.464750v1 (2021).”

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