Researchers have developed the first comprehensive framework to classify small-cell lung cancer (SCLC) into four unique subtypes, based on gene expression, and have identified potential therapeutic targets for each type in a study.
A new method, developed offers game-changing possibilities for genetic association studies and biomedical research. For less than $1 in computational cost, GLIMPSE is able to statistically infer a complete human genome from a very small amount of data. It offers a first realistic alternative to current approaches, and so allows a wider inclusion of underrepresented populations.