Understanding and targeting resistance mechanisms in NSCLC

By J. Rotow, T. Bivona. Nature Reviews. Cancer, 2017

850 citations recorded by the source corpus.

Subfields: Molecular Biology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/f74d379a7c99a2db5026e9809049645cd1b3cf5a

Citations in the corpus

• How Machine Learning will Transform Biomedicine (2020, neutral): “However, responses are often highly variable between patients due to differences at other genomic and epigenomic loci as well as anatomic disease distribution (Brown et al., 2019; Kobayashi and Mitsudomi, 2016; Rotow and Bivona, 2017).”