Solo: doublet identification via semi-supervised deep learning
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA589061 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We developed a semi-supervised deep learning framework for the identification of doublets in scRNA-seq analysis called Solo. To validate our method, we used MULTI-seq, cholesterol modified oligos (CMOs), to experimentally identify doublets in a solid tissue with diverse cell types, mouse kidney, and showed Solo recapitulated experimentally identified doublets.
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Project description:Data and results for paper, "Deep Semi-Supervised Learning Improves Universal Peptide Identification of Shotgun Proteomics Data," found at:
https://doi.org/10.1101/2020.11.12.380881
Deep learning software for PSM recalibration, called ProteoTorch-DNN, available at:
https://github.com/proteoTorch/proteoTorch
with documentation:
https://proteotorch.readthedocs.io/en/latest/
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