Data Science for Genomics

ISBN-13: 9780323983525 / Angielski / Miękka / 2022

Amit Kumar Tyagi; Ajith Abraham

Spis treści

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