In an effort to address a major challenge when analyzing large single-cell RNA-sequencing datasets, researchers from The University of Texas MD Anderson Cancer Center have developed a new computational technique to accurately differentiate between data from cancer cells and the variety of normal cells found within tumor samples. The work was published today in Nature Biotechnology.
Click here for original story, New computational tool reliably differentiates between cancer and normal cells from single-cell RNA-sequencing data
Source: Phys.org