Methods in Molecular Biology Data Mining for Systems Biology: Methods and Protocols, Book 939, (Hardcover)
IDR 2382232
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Convert an unprecedented data deluge to new knowledge and biological insight.
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- The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. Data Mining for Systems Biology: Methods and Protocols, surveys and demonstrates the science and technology of converting an unprecedented data deluge to new knowledge and biological insight. The volume is organized around two overlapping themes, network inference and functional inference. Written in the highly successful Methods in Molecular Biology(TM) series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols also seeks to aid researchers in the further development of databases, mining and visualization systems that are central to the paradigm altering discoveries being made with increasing frequency.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Pub date | 20121129 |
| Pages | 279 |
| Subgenre | Life Sciences |
| Series title | Methods in Molecular Biology |
| Number in series | 939 |
| Edition | 2013 Edition |
| Publisher | Humana Press |
| Original languages | English |
| Language | English |
| Edu focus | Biology |
| Is collectible | N |
| Editor | Hiroshi Mamitsuka; Charles Delisi; Minoru Kanehisa |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.90 x 0.90 x 10.00 in (17.5 x 2.3 x 25.4 cm) |
| Assembled product weight | 1.55 lb (700 grams) |
| Bisac subject heading | Science |
Who Should Buy?
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Researchers in Biology
Ideal for biologists needing advanced data mining techniques for analyzing complex biological systems and datasets.
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Graduate Students
Helpful for graduate students pursuing systems biology who require practical protocols and methodologies for their research projects.
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Data Scientists
Suitable for data scientists working in life sciences to enhance their skills in mining biological data effectively.
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Casual Readers
Not suitable for casual readers as it provides in-depth technical content likely to be confusing and overly complex.
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Beginners in Biology
May not be ideal for beginners who lack foundational knowledge in molecular biology or data mining principles.
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General Science Enthusiasts
Inappropriate for general science enthusiasts seeking broad concepts rather than focused methodologies in systems biology.
Product Description
Customer Questions & Answers
-
Question:
What topics does this book cover?
Answer: The book covers data mining techniques, network inference, and functional inference in systems biology. -
Question:
Is this book suitable for beginners?
Answer: Yes, it includes step-by-step protocols and troubleshooting tips, making it accessible for researchers of all levels. -
Question:
How does this book aid research?
Answer: It provides practical methods for converting large data sets into actionable biological insights.
Hiroshi Mamitsuka All Books Editorial Review
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IDR 2382232
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Explores data mining techniques for systems biology.
- Covers network and functional inference themes.
- Includes step-by-step, reproducible protocols.
- Provides troubleshooting tips to avoid common pitfalls.
- Supports the development of essential databases and visualization systems.
- Crucial for researchers in post-genomic biological discoveries.