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Robust bioinformatics recognition with VLSI biochip microsystem

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dc.contributor.author Lue, Jaw-Chyng L.
dc.contributor.author Fang, Wai-Chi
dc.date.accessioned 2006-10-31T21:31:27Z
dc.date.available 2006-10-31T21:31:27Z
dc.date.issued 2006-07-13
dc.identifier.citation IEEE/NLM Life Science Systems and Applications Workshop, Bethesda, Maryland, July 13-14, 2006. en
dc.identifier.clearanceno 06-1896
dc.identifier.uri http://hdl.handle.net/2014/39879
dc.description.abstract A microsystem architecture for real-time, on-site, robust bioinformatic patterns recognition and analysis has been proposed. This system is compatible with on-chip DNA analysis means such as polymerase chain reaction (PCR)amplification. A corresponding novel artificial neural network (ANN) learning algorithm using new sigmoid-logarithmic transfer function based on error backpropagation (EBP) algorithm is invented. Our results show the trained new ANN can recognize low fluorescence patterns better than the conventional sigmoidal ANN does. A differential logarithmic imaging chip is designed for calculating logarithm of relative intensities of fluorescence signals. The single-rail logarithmic circuit and a prototype ANN chip are designed, fabricated and characterized. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 278522 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006. en
dc.subject Very Large-Scale Integration (VLSI) en
dc.subject bioinformatics en
dc.title Robust bioinformatics recognition with VLSI biochip microsystem en
dc.type Preprint en


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