Papers: 10.1371/journal.pone.0045969
https://doi.org/10.1371/journal.pone.0045969
Met Kinetic Signature Derived from the Response to HGF/SF in a Cellular Model Predicts Breast Cancer Patient Survival
Cited by: 5
Author(s): Gideon Y. Stein, Nir Yosef, Hadar Reichman, Judith Horev, Adi Laser-Azogui, Angelique Berens, James H. Resau, Eytan Ruppin, Roded Sharan, Ilan Tsarfaty
Published: almost 14 years ago
Software Mentions 1
pypi: MICA
Mutual Information-based Clustering Analysis tool designed for scRNA-seq dataPapers that mentioned: 60
Very Likely Science (100)