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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: software application, software resource, source code
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,
Funding: NIMH 5T32MH065214; NIMH DP2MH140136; NIMH UM1MH130981
Availability: Free, Available for download, Freely available
Resource Name: PIANO:Probabilistic Inference Autoencoder Networks for multi-Omics
Resource ID: SCR_027864
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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