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Table 1 A summary of the key concepts used in this paper, including their definitions and nature

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

Key concepts

Definition

Nature

RNA polymerase

An enzyme that transcribes a DNA sequence into an RNA sequence

Biology

mRNA degredation

The process of an mRNA sequence being destroyed

Biology

Biological zero

Absence of mRNA of a gene in a cell

Biology

GC-rich

Majority of the bases in a sequence are either cytosine (C) or guanine (G)

Biology

Reverse transcription

Enzyme-mediated synthesis of a DNA molecule from an RNA template; a step to enable DNA sequencing

Sequencing technology

cDNA

Complementary DNA (synthesized from reverse transcription)

Sequencing technology

PCR

Polymerase chain reaction; a step to amplify cDNA copy number

Sequencing technology

IVT

In vitro transcription amplification; a step to amplify cDNA copy number

Sequencing technology

Sequence read

A short sequence read out by sequencing machine

Sequencing technology

UMI

Unique molecular identifier, which is used to correct amplification bias

Sequencing technology

Non-biological zero

Absence of reads or UMIs of a gene in a cell in scRNA-seq data when the gene in fact has mRNAs in the cell

Sequencing technology

Technical zero

Absence of reads or UMIs of a gene in a cell due to the library-preparation steps (e.g., cDNA synthesis) before cDNA amplification

Sequencing technology

Sampling zero

Absence of reads or UMIs of a gene in a cell due to inefficient amplification and/or limited sequencing depth

Sequencing technology

Dropouts

Various meanings in the literature

Ambiguous

Excess zeros

Various meanings in the literature

Ambiguous

Two-state gene expression model

A model that describes a gene’s switching between active and inactive states during transcription

Modeling

Zero inflation

A statistical concept that depends on a specified statistical model

Modeling

Poisson

A statistical model for counts; it requires the count variance to be equal to the count mean

Modeling

Zero-inflated Poisson (ZIP)

A statistical model for counts; it allows for a larger proportion of zeros than Poisson does

Modeling

Negative binomial (NB)

A statistical model for counts; it requires the count variance to be larger than the count mean

Modeling

Zero-inflated negative binomial (ZINB)

A statistical model for counts; it allows for a larger proportion of zeros than NB does

Modeling

Masking scheme

A way to mask a proportion of non-zero counts in a matrix to zeros

Modeling

Differentially expressed (DE) gene

A gene that has statistically significant difference in expression between two conditions (e.g., cell groups)

Modeling

Impute

To change the zero counts in a matrix to non-zero counts

Modeling

Binarize

To change the non-zero counts in a matrix to ones

Modeling