Mining coherent dense subgraphs across massive biological networks for functional discovery
By Haiyan Hu, Xifeng Yan, Yu Huang, Jiawei Han, X. Zhou. Intelligent Systems in Molecular Biology, 2005
382 citations recorded by the source corpus.
Subfields: Information Systems, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/59779b242952f24d601db86cd36929e2d5550f92
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Jianhua Feng
- Hans-Peter Kriegel
- Karsten M. Borgwardt
- Bernhard Schölkopf
- Arthur Gretton
- Jianyong Wang
- Xiaoli Li
- Lizhu Zhou
In Molecular Biology
- Arthur Gretton
- Alex Smola
- Bernhard Schölkopf
- Karsten M. Borgwardt
- Malte J. Rasch
- Min Wu
- Chee Keong Kwoh
- Hans-Peter Kriegel
Citations in the corpus
- A core-attachment based method to detect protein complexes in PPI networks (2009, methodology): “, minimum cut and normalized cut [10]) are also used for graph partition and thus for detecting protein complexes.”
- Comparing Stars: On Approximating Graph Edit Distance (2009, background): “For example, World Wide Web can be considered as a graph whose vertices correspond to static pages and edges correspond to links between pages[7]; in chem-informatics, labelled graphs are suited to express the connectivity of chemical compounds[29]; in bioinformatics, collections of DNA segments in ”
- Integrating structured biological data by Kernel Maximum Mean Discrepancy (2006, methodology): “Data For our first experiment, we obtained datasets from Hu et al. (2005). These data comprise gene expression levels of 6661 genes from 39 datasets from several published studies.”