Selecting maximally informative genes

نویسنده

  • Ioannis P. Androulakis
چکیده

Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given organism, array experiments provide tremendous insight into the fundamental biological processes that translate genetic information. One of the major challenges is to identify computationally efficient and biologically meaningful analysis approaches to extract the most informative and unbiased components of the microarray data. This process is complicated by the fact that a number of uncertainties are associated with array experiments. Therefore, the assumption of the existence of a unique computational d f m d b ©

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عنوان ژورنال:
  • Computers & Chemical Engineering

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2005