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Arash Davari Serej on Twitter: "scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data scTyper is a R package that provides a database of cell type markers, which
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Induction of stem cell markers in Rb1 −/− MEF sublines expressing RB... | Download Scientific Diagram
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GitHub - omicsCore/scTyper: scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data
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Searching large-scale scRNA-seq databases via unbiased cell embedding with Cell BLAST | Nature Communications
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Processes | Free Full-Text | Predicting Host Immune Cell Dynamics and Key Disease-Associated Genes Using Tissue Transcriptional Profiles
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Hipposeq: a comprehensive RNA-seq database of gene expression in hippocampal principal neurons | eLife
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Biomolecules | Free Full-Text | Automatic Cell Type Annotation Using Marker Genes for Single-Cell RNA Sequencing Data
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Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data | Nature Communications
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Single-cell co-expression analysis reveals that transcriptional modules are shared across cell types in the brain - ScienceDirect
The Scientist - B cell development to mature plasma cells involves the transitions through many stages and you'll need a range of antibodies to key markers to distinguish these different B cell
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An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex | Journal of Neuroscience
Fully-automated cell-type identification with specific markers extracted from single-cell transcriptomic data
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