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BMCBI
2006
118views more  BMCBI 2006»
13 years 7 months ago
Low degree metabolites explain essential reactions and enhance modularity in biological networks
Background: Recently there has been a lot of interest in identifying modules at the level of genetic and metabolic networks of organisms, as well as in identifying single genes an...
Areejit Samal, Shalini Singh, Varun Giri, Sandeep ...
ICWSM
2009
13 years 5 months ago
Gephi: An Open Source Software for Exploring and Manipulating Networks
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and ...
Mathieu Bastian, Sebastien Heymann, Mathieu Jacomy
KDD
2003
ACM
152views Data Mining» more  KDD 2003»
14 years 7 months ago
Interactive exploration of coherent patterns in time-series gene expression data
Discovering coherent gene expression patterns in time-series gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we pr...
Daxin Jiang, Jian Pei, Aidong Zhang
ML
2010
ACM
193views Machine Learning» more  ML 2010»
13 years 2 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
BIOSURVEILLANCE
2008
Springer
13 years 9 months ago
Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities
Salmonella is among the most common food borne illnesses which may result from consumption of contaminated products. In this paper we model the co-occurrence data between USDA-cont...
Purnamrita Sarkar, Lujie Chen, Artur Dubrawski