Motivation: Although natural products represent a reservoir of molecular diversity, the process of isolating and identifying active compounds is a bottleneck in drug discovery programs. The rapid isolation and identification of the bioactive component(s) of natural product mixtures during the bioassay-guided fractionation have become crucial factors in the competition with chemical compound libraries and combinatorial synthetic efforts.
Interactive visualization methodology of high-dimensional data with a color-based model for dimensionality reduction
Recently, our ongoing work on Interactive visualization approach for dimensionality reduction was presented at the 2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA),
The procceedings have being added to IEEEXplore,
Alvarado-Pérez, J. C., Peluffo-Ordóñez, D. H., & Therón Sánchez, R. (2015). Bridging the gap between human knowledge and machine learning, ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4