Table 3.

Abbreviations and their corresponding descriptions.

	Abbreviation	Description
Data Types	SNP	Single Nucleotide Polymorphism
	CNV	Copy Number Variation
	mRNA	messenger RNA
	miRNA	micro RNA
	DNAm	DNA methylation
	WSI	Whole Slide Image
Resources	FANTOM	Functional ANnotation Of the Mammalian genome
	ICGC	The International Cancer Genome Consortium
	TCGA	The Cancer Genomics Atlas
	CCLE	Cancer Cell Line Encyclopedia
	GDC	Genomic Data Commons
	IHEC	The International Human Epigenomics Consortium
	GTEx	Genotype-Tissue Expression
	GWAS	Genome-Wide Association Studies
	STRING	Search Tool for the Retrieval of Interacting Genes/Proteins
	ROSMAP	Religious Orders Study/Memory and Aging Project
	PORPOISE	Pathology-Omics Research Platform for Integrative Survival Estimation
Modeling Approaches	LVM	Latent Variable Model
	DL	Deep Learning
	VAE	Variational AutoEncoder
	DNN	Deep Neural Network
	CNN	Convolutional Neural Network
	GCN	Graph Convolutional Network
Models	MOFA	Multi-Omics Factor Analysis
	MOLI	Multi-Omics Late Integration
	MOSAE	Multi-omics Supervised Autoencoder
	MAE	Multi-view Factorization AutoEncoder
	MDNNMD	Multimodal Deep Neural Network by integrating Multi-dimensional Data
	MOGONET	Multi-Omics Graph cOnvolutional NETworks
	SALMON	Survival Analysis Learning with Multi-Omics Neural Networks
	HFBSurv	Hierarchical Factorized Bilinear fusion for cancer survival prediction
	DeepMOCCA	Deep Multi Omics CanCer Analysis
	MCAT	Multimodal Co-Attention Transformer