| ACSN |
Atlas of Cancer Signaling Networks |
| AI |
Artificial Intelligence |
| BIODICA |
ICA applied to Big Omics Data |
| BSS |
Blind Source Separation |
| CAF |
Cancer-Associated Fibroblasts |
| CNA |
Copy Number Alterations |
| CNV |
Copy Number Variation |
| CRI |
Center for Interdisciplinary Research |
| DeconICA |
Deconvolution of omic data through Immune Components Analysis |
| DEG |
Differentially Expressed Genes |
| DGE |
Differential Gene Expression |
| EM |
Extracellular Matrix |
| EWAS |
Epigenome-wide association study |
| FACS |
Fluorescence-activated cell sorting |
| GSEA |
Gene Set Enrichment Analysis |
| ICA |
Independent Components Analysis |
| ML |
Machine Learning |
| mRNA |
messenger RNA |
| MSTD |
Most Stable Transcriptomic Dimension |
| NGS |
New Generation Sequencing |
| NK |
Natural Killer |
| NMF |
Non-negative Matrix Factorisation |
| PBMC |
Peripheral blood mononuclear cell |
| PCA |
Principal Components Analysis |
| RNA-seq |
RNA sequencing |
| scRNA-seq |
single cell RNA sequencing |
| SVM |
Support Vector Machine |
| SVR |
Support Vector Regression |
| TCGA |
The Cancer Genome Atlas |
| TIL |
Tumor Infiltrating Leucocytes |
| TMA |
Tissue Microarrays |
| TME |
Tumor Microenvironment |
| TPM |
Transcripts Per Kilobase Million |
| t-SNE |
T-distributed Stochastic Neighbor Embedding |
| UMAP |
Uniform Manifold Approximation and Projection for Dimension Reduction |