Health
Computational Tool Differentiates Between Data From Cancer Cells and Normal Cells – Technology Networks
Researchers have created a new computational technique to accurately differentiate between single-cell RNA-sequencing data from cancer cells and the variety of…
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.
The new tool, dubbed CopyKAT (copy number karyotyping of aneuploid tumors), allows researchers to more easily examine…
Continue Reading