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BICOB
2009
Springer
13 years 11 months ago
Constrained Fisher Scores Derived from Interaction Profile Hidden Markov Models Improve Protein to Protein Interaction Predictio
Protein-protein interaction plays critical roles in cellular functions. In this work, we propose a computational method to predict protein-protein interaction by using support vec...
Alvaro J. González, Li Liao
BIBE
2006
IEEE
112views Bioinformatics» more  BIBE 2006»
14 years 1 months ago
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration
The analysis of alignments of functionally equivalent proteins can reveal regularities such as correlated positions or residue patterns which are important to ensure a specific f...
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus...
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 4 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
BMCBI
2007
160views more  BMCBI 2007»
13 years 7 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
TCBB
2010
80views more  TCBB 2010»
13 years 5 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler