What are the Future Directions in Cancer Transcriptome Analysis?
The field of cancer transcriptomics is rapidly evolving with advancements in technology and computational methods. Single-cell RNA-seq is a promising approach that allows for the analysis of gene expression at the individual cell level, providing insights into intratumoral heterogeneity and the tumor microenvironment. Integration of multi-omics data, including genomics, proteomics, and epigenomics, with transcriptomics will offer a more comprehensive understanding of cancer biology. Additionally, the development of machine learning algorithms promises to enhance the predictive power of transcriptome data in clinical settings.
