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» A New Approach to Protein Structure Mining and Alignment
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RECOMB
2005
Springer
14 years 7 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
Background: Vaccine development in the post-genomic era often begins with the in silico screening of genome information, with the most probable protective antigens being predicted...
Irini A. Doytchinova, Darren R. Flower
BMCBI
2008
146views more  BMCBI 2008»
13 years 7 months ago
Can molecular dynamics simulations help in discriminating correct from erroneous protein 3D models?
Background: Recent approaches for predicting the three-dimensional (3D) structure of proteins such as de novo or fold recognition methods mostly rely on simplified energy potentia...
Jean-François Taly, Antoine Marin, Jean-Fra...
SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
13 years 8 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 1 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche