Algorithms offer insight into cellular development
Wednesday, August 31, 2016 - 07:31
in Biology & Nature
Through RNA sequencing, researchers can measure which genes are expressed in each individual cell of a sample. A new statistical method allows researchers to infer different developmental processes from a cell mixture consisting of asynchronous stages. This finding has been published by researchers of Helmholtz Zentrum München in collaboration with colleagues from Technical University Munich in the journal Nature Methods.