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An optimized protocol for retina single-cell RNA sequencing
PubMed Full text in PMC Similar studies
An optimized protocol for retina single-cell RNA sequencing [scRNA-Seq]
PubMed Full text in PMC Similar studies SRA Run Selector
An optimized protocol for retina single-cell RNA sequencing [snRNA-Seq]
Advantages of single nucleus over single cell RNA-seq in adult kidney
A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors
White matter aging drives microglial diversity
Decomposing cell identity for transfer learning across cellular measurements, platforms, tissues, and species.
A Bayesian mixture model for clustering droplet-based single cell transcriptomic data from population studies
NKX2-2 based nuclei sorting on human archival pancreas enables the enrichment of islet endocrine populations for single nucleus RNA sequencing
No detectable alloreactive transcriptional responses under standard sample preparation conditions during donor-multiplexed single-cell RNA sequencing of peripheral blood mononuclear cells
UMI-count modeling and differential expression analysis for single-cell RNA sequencing
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Nrl-/- Retinal Transcriptomes
Fluidigm C1 + Illumina HiSeq quantitative whole transcriptome analysis of unsorted population of E16.5 lung cells
RNA sequencing profiling of the retina in C57BL/6J and DBA/2J mice: enhancing the retinal microarray datasets from GeneNetwork
Dissecting the transcriptome landscape of human neural retina and retinal pigment epithelium by Single-cell RNA sequencing analysis
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods [5 Cell Lines Cel-seq]
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods [5 Cell Lines 10X]
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods (Drop-Seq)
Designing a single cell RNA sequencing benchmark dataset to compare protocols and analysis methods (Cel_Seq)
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