{"product_id":"statistical-bioinformatics-with-r","title":"Statistical Bioinformatics with R","description":"\u003ci\u003eStatistical Bioinformatics with R, Second Edition\u003c\/i\u003e offers a balanced treatment of statistical theory within the context of bioinformatics applications. The book goes beyond gene expression and sequence analysis to include a careful integration of statistical theory in bioinformatics. The inclusion of R codes, along with the development of advanced methodologies such as Bayesian and Markov models, equips students with a solid foundation for conducting bioinformatics research. Sections incorporate the latest advancements in bioinformatics and statistical methodologies, including new chapters on cutting-edge topics such as high-throughput sequencing data analysis, AI\/machine learning applications in bioinformatics, and advanced statistical methods.\u003cbr\u003e\u003cbr\u003eFrom new and updated practical examples and case studies that illustrate real-world applications of statistical techniques to bioinformatic problems to enhanced end-of-chapter exercises, detailed code annotations, and an improved companion website with supplementary materials, including datasets and R scripts, this book is a valuable resource for both self-study and formal coursework, fostering a deeper understanding of statistical bioinformatics and equipping readers with the skills needed to tackle complex biological data analysis challenges.","brand":"Gardners","offers":[{"title":"Default Title","offer_id":57499206484341,"sku":"9780443404375","price":67.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9780443404375.jpg?v=1786694523","url":"https:\/\/backstory.london\/products\/statistical-bioinformatics-with-r","provider":"Backstory","version":"1.0","type":"link"}