Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series.

ABSTRACT: Most of the research studies developed applying microarray technology to the characterization of different pathological states of any disease may fail in reaching statistically significant results. This is largely due to the small repertoire of analysed samples, and to the limitation in the number of states or pathologies usually addressed. Moreover, the influence of potential deviations on the gene expression quantification is usually disregarded. In spite of the continuous changes in omic sciences, reflected for instance in the emergence of new Next-Generation Sequencing-related technologies, the existing availability of a vast amount of gene expression microarray datasets should be properly exploited. Therefore, this work proposes a novel methodological approach involving the integratio

SUBMITTER: Galvez JM 

PROVIDER: S-EPMC5947894 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature