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» WGCNA: an R package for weighted correlation network analysi...
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BMCBI
2008
144views more  BMCBI 2008»
13 years 4 months ago
WGCNA: an R package for weighted correlation network analysis
Background: Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method ...
Peter Langfelder, Steve Horvath
BMCBI
2010
153views more  BMCBI 2010»
13 years 3 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
NIPS
1994
13 years 6 months ago
Analysis of Unstandardized Contributions in Cross Connected Networks
Understanding knowledge representations in neural nets has been a difficult problem. Principal components analysis (PCA) of contributions (products of sending activations and conn...
Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Tak...
AAAI
2011
12 years 4 months ago
Exploiting Phase Transition in Latent Networks for Clustering
In this paper, we model the pair-wise similarities of a set of documents as a weighted network with a single cutoff parameter. Such a network can be thought of an ensemble of unwe...
Vahed Qazvinian, Dragomir R. Radev
BMCBI
2004
98views more  BMCBI 2004»
13 years 4 months ago
STING Millennium Suite: integrated software for extensive analyses of 3d structures of proteins and their complexes
Background: The integration of many aspects of protein/DNA structure analysis is an important requirement for software products in general area of structural bioinformatics. In fa...
Roberto H. Higa, Roberto C. Togawa, Arnaldo J. Mon...