Manifold Construction by Local Neighborhood Preservation
Neural Information Processing
Models and algorithms for pagerank sensitivity
Models and algorithms for pagerank sensitivity
Visualisation of influenza A protein segments in distance invariant self-organising map
International Journal of Intelligent Information and Database Systems
Visualizing human genes on manifolds embedded in three-dimensional space
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Function approximation using generalized adalines
IEEE Transactions on Neural Networks
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There has been more than twenty thousand proteins in human body been sequenced. This work applies three manifold learning techniques, which preserve distinct relations among proteins coded by human DNA, to explore the geometry of the distribution of genes in three-dimensional space. The simulations suggest that the relations hidden among genetic amino-acid sequences could be explored by the manifolds embedded in Euclidean space.