Browsing Mathematics & Statistics Department by Subject "gene expression"

Now showing items 1-3 of 3

    • A Comprehensive Statistical Model for Cell Signaling 

      Ochs, Michael F.; Yörük, Erdem; German, Donald; Younes, Laurent (Institute of Electrical and Electronics Engineers, 2011)
      Protein signaling networks play a central role in transcriptional regulation and the etiology of many diseases. Statistical methods, particularly Bayesian networks, have been widely used to model cell signaling, mostly for ...

    • Matrix Factorization Methods Applied in Microarray Data Analysis 

      Ochs, Michael F.; Kossenkov, Andrew (Inderscience, 2010)
      Numerous methods have been applied to microarray data to group genes into clusters that show similar expression patterns. These methods assign each gene to a single group, which does not reflect the widely held view among ...

    • A resource for analysis of microRNA expression and function in pancreatic ductal adenocarcinoma cells 

      Ochs, Michael F.; Kent, Oliver A.; Mullendore, Michael; Wentzel, Eric A.; López-Romero, Pedro; Tan, Aik Choon; Alvarez, Hector; West, Kristen; Hidalgo, Manuel; Arking, Dan E.; Maitra, Anirban; Mendell, Joshua T. (Taylor & Francis, 2009)
      MicroRNAs (miRNAs) are 21-24 nucleotide RNA molecules that regulate the translation and stability of target messenger RNAs. Abnormal miRNA expression is a common feature of diverse cancers. Several previous studies have ...