{"product_id":"immunoinformatics-of-cancers-practical-machine-learning-approaches-using-r-paperback-9780128224007","title":"Immunoinformatics of Cancers; Practical Machine Learning Approaches Using R (Paperback) 9780128224007","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eImmunoinformatics of Cancers\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ePractical Machine Learning Approaches Using R\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003ePresents practical, computational knowledge and techniques available in bioinformatics, programming and machine learning in R for research on the immunological aspects of malignancies\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eNima Rezaei (Author), Parnian Jabbari (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128224007, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 21 April 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e282 pages\u003cbr\u003e22.9 x 15.2 x 1.9 cm, 0.43 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eImmunoinformatics of Cancers: Practical Machine Learning Approaches Using R\u003c\/i\u003e takes a bioinformatics approach to understanding and researching the immunological aspects of malignancies. It details biological and computational principles and the current applications of bioinformatic approaches in the study of human malignancies. Three sections cover the role of immunology in cancers and bioinformatics, including databases and tools, R programming and useful packages, and present the foundations of machine learning. The book then gives practical examples to illuminate the application of immunoinformatics to cancer, along with practical details on how computational and biological approaches can best be integrated.\u003cbr\u003e\u003cbr\u003eThis book provides readers with practical computational knowledge and techniques, including programming, and machine learning, enabling them to understand and pursue the immunological aspects of malignancies.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eSection I\u003c\/b\u003e\u003cbr\u003e1. Introduciton to cancer immunology\u003cbr\u003e2. Introduction to bioinformatics\u003cbr\u003e3. Practical databases in immunoinformatics\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSection II\u003c\/b\u003e\u003cbr\u003e4. Principles of R programming\u003cbr\u003e5. R programming in bioinformatics\u003cbr\u003e6. Principle R packages in immunoinformatics\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSection III\u003c\/b\u003e\u003cbr\u003e7. Introduction to machine learning\u003cbr\u003e8. Naïve Bayes in R\u003cbr\u003e9. Regressions in R\u003cbr\u003e10. Linear and quadratic discriminant analysis\u003cbr\u003e11. Support-vector Machine in R\u003cbr\u003e12. Decision trees in R\u003cbr\u003e13. Random forests in R\u003cbr\u003e14. Neural Network in R\u003cbr\u003e15. K Nearest Neighbour in R\u003cbr\u003e16. Practice examples\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Immunology [\u003ca title=\"See our other books on Immunology\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Immunology%20%5BMJCM%5D%22\"\u003eMJCM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46648655151384,"sku":"9780128224007","price":118.49,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128224007.jpg?v=1694093116","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/immunoinformatics-of-cancers-practical-machine-learning-approaches-using-r-paperback-9780128224007","provider":"Freshly Printed Books","version":"1.0","type":"link"}