This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data.
In defining a new paradigm it is difficult to know where to begin. How do you take fifteen years
of medical practice in pathology and ten years of clinical observation utilizing the theories of
traditional Chinese medicine, acupuncture, homeopathy, and therapeutic nutrition and meld them
into a model of biological understanding and medical practice? The answer is actually quite simple
— start from the beginning and build a convincing model based upon sound physics, physiology,
pathology, and clinical medicine and see if the model fits the expected outcome.
This book began its evolution in 1999 when the British Antarctic Survey,
where I worked at the time, began a new research programme on the management
of marine ecosystems. This programme concentrated upon the
krill-based ecosystem at SouthGeorgia which has been the subject of almost
continuous study since the Discovery Expeditions in the 1920s. Latterly,
international efforts to understand the dynamics of this ecosystem and the
wider Southern Ocean have been coordinated by the Commission for the
Conservation of AntarcticMarine Living Resources (CCAMLR)....
These consistencies have made it possible for accrediting groups to compare programs at
multiple institutions. They make the handling of transfer credit from institution to
institution reasonably systematic. They make it possible that institutions can issue
“transcripts that follow commonly accepted practices and accurately reflect a student’s
academic experience" as required by Criterion 5 of the North Central Association’s
Criteria for Accreditation (Adopted February 2001).