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. 2025 Jun 19;47(6):470. doi: 10.3390/cimb47060470
AI Artificial intelligence
ANN Artificial neural network
ATAC-seq Assay for transposase-accessible chromatin using sequencing
AUC Area under the curve
CITE-seq Cellular indexing of transcriptomes and epitopes by sequencing
CNN Convolutional neural network
CNV Copy number variation
CRF Conditional random field
CTC Connectionist temporal classification
ctDNA Circulating tumor DNA
DL Deep learning
DEA Differential expression analysis
DMR Differentially methylated region
EMBL-EBI European Bioinformatics Institute
GATK Genome Analysis Toolkit
GBM Gradient boosting machine
GEO Gene Expression Omnibus
GNN Graph neural network
GRN Gene regulatory network
HDP Hierarchical Dirichlet process
HGP Human Genome Project
HMM Hidden Markov model
IGCN Integrative graph convolutional network
IPD Interpulse duration
LSTM Long short-term memory
ML Machine learning
m5C 5-methylcytosine
m6A N6-methyladenosine
hm5C 5-hydroxymethylcytosine
ML Machine learning
mRNA Messenger RNA
NGS Next-generation sequencing
ONT Oxford Nanopore Technologies
PCA Principal component analysis
PCR Polymerase chain reaction
RF Random forest
RNN Recurrent neural network
scRNA-seq Single-cell RNA sequencing
SdAs Stacked denoising autoencoders
SNP Single nucleotide polymorphism
SVM Support vector machine
TCGA The Cancer Genome Atlas
TGS Third-generation sequencing
t-SNE t-distributed stochastic neighbor embedding
UMAP Uniform manifold approximation and projection
VAE Variational autoencoder
WGBS Whole-genome bisulfite sequencing