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The story beyond Artificial Immune Systems Zhou Ji, Ph.D. Center for Computational Biology and Bioinformatics Columbia University Wuhan, China 2009.

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Presentation on theme: "The story beyond Artificial Immune Systems Zhou Ji, Ph.D. Center for Computational Biology and Bioinformatics Columbia University Wuhan, China 2009."— Presentation transcript:

1 The story beyond Artificial Immune Systems Zhou Ji, Ph.D. Center for Computational Biology and Bioinformatics Columbia University Wuhan, China 2009

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4 Evolutionary Algorithms Artificial Life DNA Computing

5 Evolutionary Algorithms Artificial Life DNA Computing

6  Genetic algorithm – a well established algorithm  Artificial Immune Systems – a new area that are diverse and to be defined  Bioinformatics – what is both biology and computer science at the same time

7 cellular molecular organ population Tissue

8 1. Chromosomes change between generations crossover Mutation 2. Survival of the fittest How does evolution happen?

9  Typical problem handled with GA  optimization  What is search space? – all possible parameters  It is UNKNOWN in general  GA’s basic idea and procedure  Start a population  Evaluate fitness  New population  Selection, crossover, mutation, accepting  Replace  Test (absolute or relative criterion) and loop

10  Any computing methods inspired by immune system and computational effort for immunology motivation  Clonal selection  Immune network model  Negative selection algorithms  Danger theory and other new directions

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12 Typical application: clustering Network of “B-cells” to represent the types of antibody Develop based on Interaction between nodes and between node and training data (‘antibody’)

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16 Biologists StatisticiansComputer Scientists

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19 Each of the four letters takes 2 bits to store. One byte thus can store four letters. Human genome include about 3 billion nucleotides: 3 X 10^9 /4 = 8 X 10^8 = 800,000, MB - that takes about one regular CD to store. DNA is strings A, T(U), C, G.

20  Natural computing bridges between biology and computer science  Bio-inspired computing  Emulated life  Computing with natural materials  Biology is very interesting from the computer science point of view.

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