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ICML
2009
IEEE
16 years 3 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
CIKM
2010
Springer
15 years 1 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
143
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BMCBI
2008
131views more  BMCBI 2008»
15 years 2 months ago
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures
Background: Identification of protein complexes is crucial for understanding principles of cellular organization and functions. As the size of protein-protein interaction set incr...
Min Li, Jianer Chen, Jianxin Wang, Bin Hu, Gang Ch...
100
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SLIP
2009
ACM
15 years 9 months ago
From 3D circuit technologies and data structures to interconnect prediction
New technologies such as 3D integration are becoming a new force that is keeping Moore’s law in effect in today’s nano era. By adding a third dimension in current 2D circuits...
Robert Fischbach, Jens Lienig, Tilo Meister
CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
15 years 7 months ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...