Systems Biology and Machine Learning Methods in Reproductive Health
Series: Chapman & Hall/CRC Computational Biology Series;
- Publisher's listprice GBP 74.99
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37 952 Ft (36 145 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 3 795 Ft off)
- Discounted price 34 157 Ft (32 531 Ft + 5% VAT)
37 952 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 31 December 2024
- ISBN 9781032783703
- Binding Paperback
- No. of pages196 pages
- Size 254x178 mm
- Weight 453 g
- Language English
- Illustrations 21 Illustrations, black & white; 4 Halftones, black & white; 17 Line drawings, black & white; 14 Tables, black & white 675
Categories
Short description:
Bringing science and data science together, this ground-breaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
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Long description:
Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
MoreTable of Contents:
1. Introduction to Systems Biology and Machine Learning
2. Data Sources and Data Integration in Reproductive Health
3. Genomics and Transcriptomics in Reproductive Health
4. Proteomics and Metabolomics in Reproductive Health
5. Systems Biology Approaches in Reproductive Health
6. Machine Learning Algorithms in Reproductive Health
7. Personalized Medicine in Reproductive Health
8. Ethical and Privacy Considerations
9. Challenges and Future Directions
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