SpatialDDLS: an R package to deconvolute spatial transcriptomics data using neural networks

Abstract Summary Spatial transcriptomics has changed our way to study tissue structure and cellular organization. However, there are still limitations in its resolution, and most available platforms do not reach a single cell resolution. To address this issue, we introduce SpatialDDLS, a fast neural...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2024-02, Vol.40 (2)
Hauptverfasser:	Mañanes, Diego, Rivero-García, Inés, Relaño, Carlos, Torres, Miguel, Sancho, David, Jimenez-Carretero, Daniel, Torroja, Carlos, Sánchez-Cabo, Fátima
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications Note Availability Cellular structure Deconvolution Gene Expression Profiling Gene sequencing Neural networks Neural Networks, Computer Software Spatial data Transcriptomics
Online-Zugang:	Volltext
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