| MDE | Multiple differential expression |
| MA plots | M versus A plots |
| PCA plots | Principal component analysis |
| DGEA | Differential gene expression analysis |
| MDS | Multidimensional scaling |
| circRNAs | Circular RNAs |
| BSJ | Back-splicing junction |
| UMAP | Uniform manifold approximation and projection for dimension reduction |
| t-SNE | t-distributed stochastic neighbor embedding |
| fcircRNAs | Fusion-derived circular RNAs |
| MREs | MicroRNA response elements |
| RBP | RNA-binding protein |
| ORF | Open reading frame |
| miRNAs | MicroRNA |
| GoM | Grade of membership |
| K | Number of clusters |
| GUI | Graphical user interface |
| GSEA | Gene set enrichment analysis |
| BEAVR | Browser-based tool for the exploration and visualization of RNA-seq data. |
| scRNA-seq | Single-cell RNA sequencing |
| VAE | Deep variational autoencoder |
| SWNE | Similarity-weighted non-negative embedding |
| ssPCA | Semisupervised principal component analysis |
| DTAE | Density tree-biased autoencoder |
| FIt-SNE | Fast interpolation-based t-SNE |
| CP-PaCMAP | Compactness preservation pairwise controlled manifold approximation projection |
| WASP | Web-accessible single-cell RNA-seq processing platform |
| CA | Correspondence analysis |
| DV | Deep visualization |
| net-SNE | Neural t-distributed stochastic neighbor embedding |
| SCUBI | Single-cell unbiased |
| autoCell | Autoencoder network algorithm |