Learning Biology at a High-Dimensional Scale
High-dimensional data generated via high-throughput technologies has been the current wave of the biomedical research community, having the potential to address complex biomedical issues and open avenues for possible therapies. However, the use of these methods has led to the generation of enormous data sets, presenting a variety of challenges for applied users. Therefore, highlighting the need for efficient computing infrastructure, robust analytical methods, efficient algorithms, and quality software/tools that are well bench-marked, is increasingly important to make guided interpretations backed by data science. In this presentation, Vivek Das, M.Sc., Ph.D., presents current avenues from the data science front and indicates where to focus future attention to make knowledgeable, data-driven discoveries.
Disclaimer: The content of this webinar is the author’s personal views and does not represent NNRCSI in any capacity.
