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PIANO:Probabilistic Inference Autoencoder Networks for multi-Omics (RRID:SCR_027864)Copy Citation Copied
URL: https://pypi.org/project/piano-integration/
Proper Citation: PIANO:Probabilistic Inference Autoencoder Networks for multi-Omics (RRID:SCR_027864)
Description: Software novel variational autoencoder framework for inferring integrated latent space representations for single cell transcriptomics data that uses a negative binomial generalized linear model for stronger batch correction, and code compilation for ten times faster training than existing tools. Enables superior analyses of multiple atlases, solving challenging integration tasks across sequencing platforms, development, and species, while simultaneously preserving desired biological signals.
Abbreviations: PIANO
Synonyms: piano
Resource Type: source code, software application, software resource
Defining Citation: DOI:10.1101/2025.11.16.686778v2.full#sec-17
Keywords: Probabilistic Inference Autoencoder Networks, multi-Omics, variational autoencoder framework, inferring integrated latent space representations, single cell transcriptomics data,
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