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
Function approximation using generalized adalines
IEEE Transactions on Neural Networks
Intrinsic protein distribution on manifolds embedded in low-dimensional space
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Analyzing hemagglutinin genes of human H5N1 virus by linear neighborhood embedding
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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This work provides a visualization tool for researchers to explore the geometry of the distribution of human protein-coding DNA in three-dimensional space by applying various manifold learning techniques, which preserve distinct relations among genes. The simulations suggest that the relations hidden among genetic sequences could be explored by the manifolds embedded in Euclidean space. Operating this software, users are able to rotate, scale and shift the three-dimensional spaces in an interactive manner.