A novel data instance reduction technique using linear feature reduction
Representation of structurally significant data is indispensable to modern research. The
need for dimensionality reduction finds its foray in varied genres viz-a-viz, Structural …
need for dimensionality reduction finds its foray in varied genres viz-a-viz, Structural …
Characterizing protein conformational spaces using dimensionality reduction and algebraic topology
Datasets representing the conformational landscapes of protein structures are high
dimensional and hence present computational challenges. Efficient and effective …
dimensional and hence present computational challenges. Efficient and effective …
Characterizing Protein Conformational Spaces using Efficient Data Reduction and Algebraic Topology
Datasets representing the conformational landscapes of protein structures are high-
dimensional and hence present computational challenges. Efficient and effective …
dimensional and hence present computational challenges. Efficient and effective …