Signature Genes Selection and Functional Analysis of Astrocytoma Phenotypes: A Comparative Study.

ABSTRACT: Novel cancer biomarkers discoveries are driven by the application of omics technologies. The vast quantity of highly dimensional data necessitates the implementation of feature selection. The mathematical basis of different selection methods varies considerably, which may influence subsequent inferences. In the study, feature selection and classification methods were employed to identify six signature gene sets of grade 2 and 3 astrocytoma samples from the Rembrandt repository. Subsequently, the impact of these variables on classification and further discovery of biological patterns was analysed. Principal component analysis (PCA), uniform manifold approximation and projection (UMAP), and hierarchical clustering revealed that the data set (10,096 genes) exhibited a high degree of noise, fe

SUBMITTER: Drozdz A 

PROVIDER: S-EPMC11476064 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature