Deepening the Methodology behind Data Integration and Dimensionality Reduction: Application in Life Sciences KU Leuven
The problems of high dimensionality and heterogeneity of data always raise
lots of challenges in computational biology and chemistry. As the size of data
sets increase, as well their complexity, dimensionality reduction and advanced
analytics will gain its importance. The past 10 years or so, data integration has
become an active area of research in the field of machine learning, bioinformatics
and ...