2020
DOI: 10.1101/2020.05.11.088062
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COTAN: Co-expression Table Analysis for scRNA-seq data

Abstract: Estimating co-expression of cell identity factors in single-cell transcriptomes is crucial to decode new mechanisms of cell state transition. Due to the intrinsic low efficiency of single-cell mRNA profiling, novel computational approaches are required to accurately infer gene co-expression in a cell population. We introduce COTAN, a statistical and computational method to analyze the co-expression of gene pairs at single cell level, providing the foundation for single-cell gene interactome analysis.

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Cited by 2 publications
(8 citation statements)
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“…To get insights into the pattern of CITF transcriptional activation in specific cell subsets, we analyzed CITF co-expression in single cells by co-expression table analysis (COTAN) ( Galfrè et al, 2020 ). COTAN can assess the co-expression of gene pairs in a cell and, by extending this analysis to all gene pairs in the whole transcriptome, can indicate the tendency of a gene to be constitutively expressed or expressed in a subset of differentiating/differentiated cells.…”
Section: Resultsmentioning
confidence: 99%
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“…To get insights into the pattern of CITF transcriptional activation in specific cell subsets, we analyzed CITF co-expression in single cells by co-expression table analysis (COTAN) ( Galfrè et al, 2020 ). COTAN can assess the co-expression of gene pairs in a cell and, by extending this analysis to all gene pairs in the whole transcriptome, can indicate the tendency of a gene to be constitutively expressed or expressed in a subset of differentiating/differentiated cells.…”
Section: Resultsmentioning
confidence: 99%
“…COTAN Gene Differentiation Index (GDI) discerns between constitutive and non-constitutive genes by globally integrating COEX values ( Galfrè et al, 2020 ) ( Figure 2 A). We used GDI analysis to infer the propensity of CITFs to be expressed in restricted cell subsets during corticogenesis.…”
Section: Resultsmentioning
confidence: 99%
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