Data Fusion for Synthesis of Developmental Trajectories

Monday, Oct 9, 2017

A collaborative project by the Stanislav Y. Shvartsman, Yannis G. Kevrekidis, and Amit Singer (MATH) groups established a new approach to data fusion in studies of embryogenesis and used it to reconstruct multivariable dynamics of a patterning cascade in the early Drosophila embryo. Their paper made a cover in the PLoS Computational Biology. 

Paul Villoutreix (LSI) and Joakim Anden (MATH) are co-first authors. The work has been supported by funds from the NSF, SEAS, and Weizmann Institute.