A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification

Lignende værker

• A Semiautomated Framework for Integrating Expert Knowledge into Disease Marker Identification
  af: Jing Wang, et al.
  Udgivet: (2013-01-01)
• Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data
  af: McDermott, Jason E., et al.
  Udgivet: (2013)
• Sequential projection pursuit principal component analysis – dealing with missing data associated with new -omics technologies
  af: Webb-Robertson, Bobbie-Jo M., et al.
  Udgivet: (2013)
• A Statistical Selection Strategy for Normalization Procedures in LC-MS Proteomics Experiments through Dataset Dependent Ranking of Normalization Scaling Factors
  af: Webb-Robertson, Bobbie-Jo M., et al.
  Udgivet: (2011)
• Combined Statistical Analyses of Peptide Intensities and Peptide Occurrences Improves Identification of Significant Peptides from MS-Based Proteomics Data
  af: Webb-Robertson, Bobbie-Jo M., et al.
  Udgivet: (2010)