University of Texas: New Computational Tool Reliably Differentiates Between Cancer and Normal Cells From Single-Cell RNA-Sequencing Data
January 19, 2021
January 19, 2021
HOUSTON, Texas, Jan. 19 (TNSJou) -- The University of Texas's MD Anderson Cancer Center issued the following news release on Jan. 18:
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 . . .
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 . . .