SpatialDDLS-package: SpatialDDLS: Deconvolution of Spatial Transcriptomics Data...

In SpatialDDLS: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

SpatialDDLS: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

Description

Deconvolution of spatial transcriptomics data based on neural networks and single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural network models able to make accurate estimates of cell composition of spots from spatial transcriptomics data using deep learning and the meaningful information provided by single-cell RNA-seq data. See Torroja and Sanchez-Cabo (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3389/fgene.2019.00978")} and Mañanes et al. (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/btae072")} to get an overview of the method and see some examples of its performance.

Author(s)

Maintainer: Diego Mañanes [e-mail] (ORCID)

Authors:

• Carlos Torroja [e-mail] (ORCID)

• Fatima Sanchez-Cabo [e-mail] (ORCID)

See Also

Useful links:

• https://diegommcc.github.io/SpatialDDLS/

• https://github.com/diegommcc/SpatialDDLS

• Report bugs at https://github.com/diegommcc/SpatialDDLS/issues

SpatialDDLS documentation built on Oct. 31, 2024, 5:07 p.m.