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» Mining sequential patterns for protein fold recognition
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BMCBI
2008
178views more  BMCBI 2008»
13 years 5 months ago
A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic ana
Background: Protein remote homology detection and fold recognition are central problems in bioinformatics. Currently, discriminative methods based on support vector machine (SVM) ...
Bin Liu, Xiaolong Wang, Lei Lin, Qiwen Dong, Xuan ...
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
13 years 9 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
PREMI
2005
Springer
13 years 10 months ago
Biological Text Mining for Extraction of Proteins and Their Interactions
Text mining techniques have been proposed for extracting protein names and their interactions. First, we have made improvements on existing methods for handling single word protein...
Kiho Hong, Junhyung Park, Jihoon Yang, Sungyong Pa...
KDD
2002
ACM
154views Data Mining» more  KDD 2002»
14 years 5 months ago
Mining Protein Contact Maps
The 3D conformation of a protein may be compactly represented in a symmetrical, square, boolean matrix of pairwise, inter-residue contacts, or "contact map". The contact...
Jingjing Hu, Xiaolan Shen, Yu Shao, Chris Bystroff...
FLAIRS
2004
13 years 6 months ago
Discovering Causal Chains by Integrating Plan Recognition and Sequential Pattern Mining
In this paper we define the notion of causal chains. Causal chains are a particular kind of sequential patterns that reflect causality relations according to background knowledge....
Shreeram Sahasrabudhe, Héctor Muñoz-...