Statistical signal processing approach to DNA repair

Ram Sever, Hagit Messer

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء


Signal processing, and especially statistical signal processing, is a field in which generic tools for modeling, analysis and processing of signals are developed. Traditionally, it has been used in technology, and most modern technological systems apply advanced signal processing. However, the post-genomic era introduces challenges which, from a signal processing point of view, may lead to new understanding and promising results. We suggest to apply statistical signal processing tools to the problem of DNA repair, where nature operates as a master engineer. The DNA repair process consists of small machines (proteins, enzymes), which continuously transmit and receive signals from each other. The system regulates its operation; it has feedback loops and backup paths. We suggest modeling the components of the DNA repair system by a probability Markov state diagram.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيف2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
ناشرInstitute of Electrical and Electronics Engineers Inc.
عدد الصفحات4
رقم المعيار الدولي للكتب (المطبوع)0780388747, 9780780388741
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2005
منشور خارجيًانعم
الحدث2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, الولايات المتّحدة
المدة: ١٨ مارس ٢٠٠٥٢٣ مارس ٢٠٠٥

سلسلة المنشورات

الاسمICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
مستوى الصوتV
رقم المعيار الدولي للدوريات (المطبوع)1520-6149


!!Conference2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
الدولة/الإقليمالولايات المتّحدة
المدينةPhiladelphia, PA


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