High-content image informatics of the structural nuclear...

Experimental Cell Research 2017 / 02 Vol. 351; Iss. 1

High-content image informatics of the structural nuclear protein NuMA parses trajectories for stem/progenitor cell lineages and oncogenic transformation

Vega, Sebastián L., Liu, Er, Arvind, Varun, Bushman, Jared, Sung, Hak-Joon, Becker, Matthew L., Lelièvre, Sophie, Kohn, Joachim, Vidi, Pierre-Alexandre, Moghe, Prabhas V.
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Volume:
351
Language:
english
Journal:
Experimental Cell Research
DOI:
10.1016/j.yexcr.2016.12.018
Date:
February, 2017
File:
PDF, 1.90 MB
english, 2017
Conversion to is in progress
Conversion to is failed