Abstract: The development of a streamlined data-aggregation methodology utilizing the statistical programming language R is described. The centralization of high-throughput experimentation data enabled the use of statistics and data exploration methods within R to accelerate the identification and optimization of chemical reactions.
Speaker: Jason Stevens
Affiliation: Bristol Myers Squibb
Title: Accelerating Chemistry Research through the Integration of Data Science with High-Throughput Experimentation
Abstract_Sanitzed: The development of a streamlined data-aggregation methodology utilizing the statistical programming language R is described. The centralization of high-throughput experimentation data enabled the use of statistics and data exploration methods within R to accelerate the identification and optimization of chemical reactions.