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BIBM
2009
IEEE
172views Bioinformatics» more  BIBM 2009»
14 years 22 days ago
Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis
—A comprehensive understanding of cancer progression may shed light on genetic and molecular mechanisms of oncogenesis, and it may provide much needed information for effective d...
Yoon Soo Pyon, Jing Li
BMCBI
2004
174views more  BMCBI 2004»
13 years 7 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data
Background: Phosphorylation is a ubiquitous and fundamental regulatory mechanism that controls signal transduction in living cells. The number of identified phosphoproteins and th...
Haruna Imamura, Nozomu Yachie, Rintaro Saito, Yasu...
BMCBI
2010
96views more  BMCBI 2010»
13 years 7 months ago
QTLminer: identifying genes regulating quantitative traits
Background: Quantitative trait locus (QTL) mapping identifies genomic regions that likely contain genes regulating a quantitative trait. However, QTL regions may encompass tens to...
Rudi Alberts, Klaus Schughart
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Discover True Association Rates in Multi-protein Complex Proteomics Data Sets
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
Changyu Shen, Lang Li, Jake Yue Chen