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» Biological Network Inference Using Redundancy Analysis
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BMCBI
2005
189views more  BMCBI 2005»
14 years 9 months ago
Quantitative inference of dynamic regulatory pathways via microarray data
Background: The cellular signaling pathway (network) is one of the main topics of organismic investigations. The intracellular interactions between genes in a signaling pathway ar...
Wen-Chieh Chang, Chang-Wei Li, Bor-Sen Chen
BICOB
2010
Springer
14 years 10 months ago
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
90
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ICASSP
2007
IEEE
15 years 4 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
14 years 11 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
BMCBI
2011
14 years 4 months ago
Investigating the effect of paralogs on microarray gene-set analysis
Background: In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to an...
Andre J. Faure, Cathal Seoighe, Nicola J. Mulder