{"product_id":"9781071655665","title":"Computational Methods for RNA-RNA Interactions","description":"\u003ch3\u003eMethods in Molecular Biology\u003c\/h3\u003e\u003ch1\u003eComputational Methods for RNA-RNA Interactions\u003c\/h1\u003e\u003ch3\u003eSwetha Varadarajan\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Applied\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN\" style=\"mso-ansi-language: EN;\"\u003eThis volume \u003c\/span\u003elooks at the latest approaches for RNA–RNA interaction prediction, with particular emphasis on machine learning and deep learning methodologies. The chapters in this book \u003cspan lang=\"EN\" style=\"mso-ansi-language: EN;\"\u003eprovide a structured and in-depth exploration of computational methods for RNA–RNA interaction prediction and analysis, with focus on specific machine learning or deep learning technique and its application to \u003c\/span\u003eRNA–RNA interactions (RRIs)\u003cspan lang=\"EN\" style=\"mso-ansi-language: EN;\"\u003e-related problems. Some of the topics covered in this book include support vector machines, decision trees, and random forests; recurrent neural networks and graph neural networks; polyhedral modeling; evolutionary and genetic algorithms; machine learning versus deep learning approaches; and emerging trends in RNA–RNA interaction prediction, including multimodal data integration and model interpretability. \u003c\/span\u003eWritten in the highly successful \u003cem\u003eMethods in Molecular Biology\u003c\/em\u003e series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.\u003cbr\u003e\u003cbr\u003eComprehensive and authoritative, \u003cem\u003eComputational Methods for RNA-RNA Interactions: Methods and Protocols \u003c\/em\u003e\u003cspan lang=\"EN\" style=\"mso-ansi-language: EN;\"\u003eintegrates biological insight with computational rigor, and aims to support researchers seeking to understand, predict, and analyze RRIs in a systematic and practical manner. The content in this volume is designed for a broad audience, including molecular biologists interested in computational approaches, computer scientists and bioinformaticians entering RNA biology, and interdisciplinary researchers working at the interface of these fields.\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e23 September 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer US\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eHumana\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781071655665\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer US","offers":[{"title":"Default Title","offer_id":50450083971212,"sku":"9781071655665","price":143.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781071655665.jpg?v=1780593659","url":"https:\/\/lateknightbooks.com\/products\/9781071655665","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}