{"product_id":"information-theoretics-based-sequence-pattern-discriminant-algorithms-applications-in-bioinformatic-data-mining-3838337107","title":"Information Theoretics Based Sequence Pattern Discriminant Algorithms: Applications in Bioinformatic Data Mining","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 3838337107\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Arredondo, Tomas\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eThis work refers to studies on information-theoretic (IT) aspects of data-sequence patterns and developing discriminant algorithms that enable distinguishing the features of underlying sequence patterns having characteristic, inherent stochastical attributes. Considered in this research are specific details on information-theoretics and entropy considerations vis-á-vis sequence patterns (having stochastical attributes) such as DNA sequences of molecular biology. Applying information-theoretic concepts (essentially in Shannon?s sense), the following distinct sets of metrics are developed and applied in the algorithms developed for data-sequence pattern-discrimination applications: (i) Divergence or cross-entropy algorithms of Kullback-Leibler type and of general Czizár class; (ii) statistical distance measures; (iii) ratio-metrics; (iv) Fisher type linear-discriminant measure; (v) complexity metric based on information redundancy; and a Fuzzy logic based measure. Relevant algorithms are used to test DNA sequences of human and some bacterial organisms.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":68136325447968,"sku":"NEW3838337107","price":122.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61Wa0lSR-zS.jpg?v=1793809533","url":"https:\/\/miakarts.com\/products\/information-theoretics-based-sequence-pattern-discriminant-algorithms-applications-in-bioinformatic-data-mining-3838337107","provider":"Miakarts Books","version":"1.0","type":"link"}