Effective gene expression data generation framework based on multi-model approach

Conclusions Therefore, we show that, we can significantly improve the quality of generated gene expression samples by integrating different computational models into one unified framework without dealing with complex internal details of each individual model. Moreover, the rich set of artificial gene expression samples is able to capture some biological relations that can even not be captured by the original gene expression data set.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research