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CVPR
2010
IEEE
15 years 9 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
SIMUTOOLS
2008
15 years 7 months ago
A grid-enabled toolkit for in silico oncology simulations
In silico (on the computer) oncology is a multi-disciplinary field that focuses on the examination and modeling of biological mechanisms related to the phenomenon of cancer. In si...
Theodoros E. Athanaileas, Georgios S. Stamatakos, ...
BMCBI
2010
171views more  BMCBI 2010»
15 years 6 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
BMCBI
2010
154views more  BMCBI 2010»
15 years 6 months ago
Binary image representation of a ligand binding site: its application to efficient sampling of a conformational ensemble
Background: Modelling the ligand binding site of a protein is an important component of understanding proteinligand interactions and is being actively studied. Even if the side ch...
Edon Sung, Sangsoo Kim, Whanchul Shin
BMCBI
2010
118views more  BMCBI 2010»
15 years 6 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
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