Method - A deep transfer learning approach to identify retinal cell (sub)types from single-cell RNA sequencing data
Scientific field
Natural science - Biology - Genetics - Single-Cell RNA Sequencing
Description
This deep transfer learning approach was designed to identify retinal cell types and retinal ganglion cell subtypes with high accuracy from single-cell RNA sequencing data. Links to the manuscript and method can be found in the links section. Please see reference: Yeganeh Madadi, Jian Sun, Hao Chen, Robert Williams, Siamak Yousefi, Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning, Bioinformatics, Volume 38, Issue 18, 15 September 2022, Pages 43214329, https://doi.org/10.1093/bioinformatics/btac514
This method was created on 21 Oct 22 by team TransBio
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Method links
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