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We found in the literature several studies of gene expression profiles in DLBCL patients, with some studies focusing on disease subtypes classification [7], [8] and others on survival prediction [9].
Abbreviation: CNB, core needle biopsy; OEB, open excision biopsy; NA, not available; *: calculated with four subtypes classification.
Tumour subtypes classification of bladder cancer cell lines can also be achieved by means of gene expression analyses.
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Heterogeneity, particularly intratumoral heterogeneity, increases the challenges of cancer subtype classification.
Despite the importance of molecular subtype classification of glioblastoma (GBM), the extent of extracellular vesicle (EV -driven molEV -driven phenotypic reprogramolecularands phenotypicereprogramming
Subsequently, we showed that these subpaths had a good discriminant power for five cancer subtype classification and also had a prognostic power in terms of survival analysis.
In addition, we provide a comparative overview of the diverse α-conotoxin selectivities that can serve as a practical guide for both structure activity studies and subtype classification.
Figure 1 shows the IFS curve for (A) subtype classification model and (B) survival prediction model.
The mRNA expression derived subtype classification has previously been performed and presented [8].
Our methodology provides a way to study subtype classification and survival prediction simultaneously.
Knowledge about subtype classification can improve performance on survival prediction, and vice versa.
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