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  1. Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the treatment can be of many types from drug exposure to ...

    Authors: Julie L Morrison, Rainer Breitling, Desmond J Higham and David R Gilbert
    Citation: BMC Bioinformatics 2005 6:233
  2. Gene expression microarrays are a prominent experimental tool in functional genomics which has opened the opportunity for gaining global, systems-level understanding of transcriptional networks. Experiments th...

    Authors: Ron Shamir, Adi Maron-Katz, Amos Tanay, Chaim Linhart, Israel Steinfeld, Roded Sharan, Yosef Shiloh and Ran Elkon
    Citation: BMC Bioinformatics 2005 6:232
  3. Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. It can be employed as long as a training se...

    Authors: István Miklós and Irmtraud M Meyer
    Citation: BMC Bioinformatics 2005 6:231
  4. There is an increasing need for computer-generated models that can be used for explaining the emergence and predicting the behavior of multi-protein dynamic structures in cells. Multi-agent systems (MAS) have ...

    Authors: Hédi Soula, Céline Robardet, François Perrin, Sébastien Gripon, Guillaume Beslon and Olivier Gandrillon
    Citation: BMC Bioinformatics 2005 6:228
  5. Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display increased likelihood of being associated with ...

    Authors: Cecily J Wolfe, Isaac S Kohane and Atul J Butte
    Citation: BMC Bioinformatics 2005 6:227

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