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.
Jason Stevens
Bristol Myers Squibb
Accelerating Chemistry Research through the Integration of Data Science with High-Throughput Experimentation
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.