Transcriptional and Cellular Diversity of the Human Heart

Circulation, Journal Year: 2020, Volume and Issue: 142(5), P. 466 - 482

Published: May 14, 2020

The human heart requires a complex ensemble of specialized cell types to perform its essential function. A greater knowledge the intricate cellular milieu is critical increase our understanding cardiac homeostasis and pathology. As recent advances in low-input RNA sequencing have allowed definitions transcriptomes at single-cell resolution scale, we applied these approaches assess transcriptional diversity nonfailing heart.

Language: Английский

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Statistics or biology: the zero-inflation controversy about scRNA-seq data

Genome biology, Journal Year: 2022, Volume and Issue: 23(1)

Published: Jan. 21, 2022

Researchers view vast zeros in single-cell RNA-seq data differently: some regard as biological signals representing no or low gene expression, while others missing to be corrected. To help address the controversy, here we discuss sources of and non-biological zeros; introduce five mechanisms adding computational benchmarking; evaluate impacts on analysis; benchmark three input types: observed counts, imputed binarized counts; open questions regarding advocate importance transparent analysis.

Language: Английский

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scGen predicts single-cell perturbation responses

Nature Methods, Journal Year: 2019, Volume and Issue: 16(8), P. 715 - 721

Published: July 29, 2019

Language: Английский

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A Python library for probabilistic analysis of single-cell omics data

Nature Biotechnology, Journal Year: 2022, Volume and Issue: 40(2), P. 163 - 166

Published: Feb. 1, 2022

Language: Английский

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The Human and Mouse Enteric Nervous System at Single-Cell Resolution

Cell, Journal Year: 2020, Volume and Issue: 182(6), P. 1606 - 1622.e23

Published: Sept. 1, 2020

Language: Английский

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