Data Science for Genomics – Ebook PDF Instant Delivery – ISBN(s): 9780323983525,0323983529

Product details:

• ISBN-10 ‏ : ‎ 0323983529
• ISBN-13 ‏ : ‎ 978-0323983525
• Author: Amit Kumar Tyagi, Ajith Abraham

Data Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making. Sections cover Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques. The authors then present the fundamentals of Genomics, Genetics, Transcriptomes and Proteomes as basic concepts of molecular biology, along with DNA and key features of the human genome, as well as the genomes of eukaryotes and prokaryotes.

Table contents:

1. Introduction to Data Science

2. Toolboxes for Data Scientists

3. Machine Learning and Deep Learning: A Concise Overview

4. Artificial Intelligence

5. Data Privacy and Data Trust

6. Visual Data Analysis and Complex Data Analysis

7. Big Data programming with Apache Spark and Hadoop

8. Information Retrieval and Recommender Systems

9. Statistical Natural Language Processing for Sentiment Analysis

10. Parallel Computing and High-Performance Computing

11. Data Science, Genomics, Genomes, and Genetics

12. Blockchain Technology for securing Genomic data

13. Cloud, edge, fog, etc., for communicating and storing data for Genome

14. Open Issues, Challenges and Future Research Directions towards Data science and Genomics

15. Privacy Laws

16. Ethical Concerns

17. Self-study questions

18. Problem-based learning

19. Key Terms/ Glossary

20. Appendix – Keeping up to Date

21. Bibliography

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