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Table 2 Data analysis methods used in recent brain scRNA-seq studies

From: Single-cell RNA-sequencing of the brain

Brain region

Expression measure

Clustering

Refs.

Primary visual cortex (L1, 2/3, 4, 5, 6)

RPKM and counts

PCA, WGCNA, random forests

[21]

Somatosensory cortex and hippocampal CA1

CPM

BackSPIN

[8]

Hippocampal dentate gyrus

TPM

Hierarchical clustering, PCA, Waterfall

[73]

Striatum

CPM

2D-tSNE, rPCA

[74]

Somatosensory cortex, striatum, dentate gyrus, hippocampus CA1, corpus callosum, amygdala, hypothalamus, zona incerta, SN-VTA, dorsal horn

CPM

BackSPINv2

[75]

  1. RPKM reads per kilobase of million mapped reads, CPM counts per million mapped reads, TPM transcripts per million mapped reads, PCA principal component analysis, WGCNA weighted gene coexpression network analysis, t-SNE t-distributed stochastic neighbor embedding, rPCA robust principal component analysis