Kernel Methods in Computational Biology (Computational Molecular Biology),Used

Kernel Methods in Computational Biology (Computational Molecular Biology),Used

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SKU: SONG0262195097
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A detailed overview of current research in kernel methods and their application to computational biology.Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology. Following three introductory chaptersan introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biologythe book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: What is the page count of this book? A: The book has four hundred ten pages. It provides an in-depth exploration of kernel methods in computational biology.
  • Q: What are the dimensions of the book? A: The book measures eight point two four inches in length, one point zero two inches in width, and ten point three one inches in height. These dimensions make it a standard-sized hardcover.
  • Q: What binding does this book have? A: This book is bound in hardcover. This durable binding enhances its longevity and makes it suitable for frequent use.
  • Q: How do I use this book for research? A: You can use this book as a reference for advanced research in computational biology. It covers various kernel methods that can aid in analyzing biological data.
  • Q: Is this book suitable for beginners in machine learning? A: Yes, the book includes introductory chapters that explain core concepts. This makes it accessible for readers new to machine learning and computational biology.
  • Q: What topics are covered in the book? A: The book covers kernel methods, their applications in computational biology, and specific trends in research. It also discusses the design of kernel functions and learning from heterogeneous data.
  • Q: How should I care for this hardcover book? A: To keep this book in good condition, store it in a cool, dry place. Avoid exposing it to direct sunlight to prevent fading of the cover and pages.
  • Q: Can this book be cleaned? A: Yes, you can dust the book with a soft, dry cloth. Avoid using water or cleaning solutions that may damage the binding or pages.
  • Q: How should I store this book? A: Store this book upright on a shelf or in a bookcase. Ensure it is not overcrowded to prevent bending or damage to the spine.
  • Q: How does this book compare to others in computational biology? A: This book offers a unique focus on kernel methods, making it distinct from others that may cover broader topics. It is particularly beneficial for those interested in advanced machine learning techniques.
  • Q: Is this book appropriate for academic use? A: Yes, this book is suitable for academic use. Its comprehensive overview and research focus make it an excellent resource for students and professionals in the field.
  • Q: Which audience would benefit most from this book? A: Researchers and students in computational biology and machine learning will benefit most from this book. Its detailed analysis caters to both intermediate and advanced readers.
  • Q: What if I receive a damaged copy of the book? A: If you receive a damaged copy, you should contact the seller for a return or exchange. Most sellers offer policies to handle such issues.
  • Q: What is the return policy for this book? A: Return policies may vary by seller, but typically, you can return the book within a specified period if it is in its original condition. Always check the seller's specific return guidelines.
  • Q: What should I do if the book does not meet my expectations? A: If the book does not meet your expectations, you can return it according to the seller's return policy. Be sure to keep the original packaging for easier returns.

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