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. 2025 Aug 22;26:769. doi: 10.1186/s12864-025-11925-y

Table 1.

Related study analysis

Study Computational factors Biological factors Datasets Omics Method Estimation method
Sample size Feature selection Preprocessing Noise Balance Number of classes Cancer subtype combination Omics combination Clinical feature
Chauvel et al. [28] S S X S X S X X X BRCA (348) GE BCC ARI
ME MDI
MI iCluster
Protein moCluster
JIVE
iNMF
Rappoport et al. [30] X X X X X O X X O AML (170) GE k-means Survival analysis (logrank)
BIC (621) ME Spectral Clinical distribution
COAD (220) MI LRAcluster
GBM (274) PINS
KIRC (183) SNF
LIHC (367) rMKL-LPP
LUSC (341) MCCA
SKCM (448) MultiNMF
OV (287) iClusterBayes
SARC (257)
Tini et al. [24] S O X O X S X O O BXD (66) GE MCCA F-measure
Platelet (12) ME JIVE
BRCA (491) MI MCIA
MFA
SNF
Pierre-Jean et al. [29] S S S O S S X O O BXD (64) GE RGCCA F-measure
Obesity (13) ME intNMF ARI
Liver cancer (360) CNV SNF Survival analysis
Mutation LRACluster
PINSPlus
CC
MCIA
mixKernel
SGCCA
iClusterPlus
MoCluster
CIMLR
MOFA
Duan et al. [31] X O X O X O X O X ACC (77) GE SNF Precision
BRCA (760) ME NEMO NMI
COAD (291) MI CIMLR ARI
KIRP (273) CNV MultiNMF F-measure
KIRC (314) PFA
LIHC (364) LRAcluster
LUAD (453) moCluster
LUSC (363) iClusterBayes
THYM (119) PINS
Subtype-GAN