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» Separating Complexity Classes Using Structural Properties
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BMCBI
2011
13 years 1 months ago
HomPPI: A Class of Sequence Homology Based Protein-Protein Interface Prediction Methods
Background: Although homology-based methods are among the most widely used methods for predicting the structure and function of proteins, the question as to whether interface sequ...
Li C. Xue, Drena Dobbs, Vasant Honavar
BMCBI
2007
109views more  BMCBI 2007»
13 years 10 months ago
Computational RNA secondary structure design: empirical complexity and improved methods
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
Rosalía Aguirre-Hernández, Holger H....
PAMI
1998
131views more  PAMI 1998»
13 years 9 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...
BMCBI
2010
150views more  BMCBI 2010»
13 years 10 months ago
MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure
Background: The reconstruction of protein complexes from the physical interactome of organisms serves as a building block towards understanding the higher level organization of th...
Sriganesh Srihari, Kang Ning, Hon Wai Leong
NIPS
2007
13 years 11 months ago
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, ...