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» Relational operators for prioritizing candidate biomarkers i...
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BMCBI
2010
154views more  BMCBI 2010»
13 years 4 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
BMCBI
2008
93views more  BMCBI 2008»
13 years 4 months ago
A software application for comparing large numbers of high resolution MALDI-FTICR MS spectra demonstrated by searching candidate
Background: A JavaTM application is presented, which compares large numbers (n > 100) of raw FTICR mass spectra from patients and controls. Two peptide profile matrices can be ...
Mark K. Titulaer, Dana A. N. Mustafa, Ivar Siccama...
BMCBI
2010
97views more  BMCBI 2010»
13 years 4 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
BIBM
2009
IEEE
172views Bioinformatics» more  BIBM 2009»
13 years 9 months 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