A deep learning framework for the reconstruction of gene expression profiles derived from formalin-fixed paraffin-embedded samples
This dataset was utilized to investigate the impact of key preanalytical factors on the preparation of formalin-fixed, paraffin-embedded (FFPE) tissue samples and subsequent library construction for RNA-sequencing analysis. The dataset consists eight RNA-Seq data, derived from two colorectal cancer (CRC) patient samples obtained from Prince of Wales Hospital in Hong Kong. Overall design: Expression profiling by high throughput sequencing