{"product_id":"introduction-to-machine-learning-and-bioinformatics","title":"Introduction to Machine Learning and Bioinformatics","description":"\u003cp\u003e\u003ci\u003eLucidly Integrates Current Activities\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eFocusing on both fundamentals and recent advances, \u003cb\u003eIntroduction to Machine Learning and Bioinformatics\u003c\/b\u003e presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eExamines Connections between Machine Learning \u0026amp; Bioinformatics\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eThe book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eExplores How Machine Learning Techniques Can Help Solve Bioinformatics Problems\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003eShedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":54257410277720,"sku":"9781584886822","price":192.2,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781584886822.jpg?v=1769034634","url":"https:\/\/agendabookshop.com\/products\/introduction-to-machine-learning-and-bioinformatics","provider":"Agenda Bookshop","version":"1.0","type":"link"}