Applications of Machine Learning and Deep Learning on Biological Data [electronic resource].
- Milton : Auerbach Publishers, Incorporated, 2023.
- 1 online resource (211 p.).
- Advances in Computational Collective Intelligence Ser. .
- Advances in Computational Collective Intelligence Ser. .
Description based upon print version of record.
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Contributors -- About the Authors -- 1. Deep Learning Approaches, Algorithms, and Applications in Bioinformatics -- 2. Role of Artificial Intelligence and Machine Learning in Schizophrenia-A Survey -- 3. Understanding Financial Impact of Machine and Deep Learning in Healthcare: An Analysis -- 4. Face Mask Detection Alert System for COVID Prevention Using Deep Learning -- 5. An XGBoost-Based Classification Method to Classify Breast Cancer -- 6. Prediction of Erythemato-Squamous Diseases Using Machine Learning 7. Grouping of Mushroom 5.8s rRNA Sequences by Implementing Hierarchical Clustering Algorithm -- 8. Applications of Machine Learning and Deep Learning in Genomics and Proteomics -- 9. Artificial Intelligence: For Biological Data -- 10. Application of ML and DL on Biological Data -- 11. Deep Learning for Bioinformatics -- Index
This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics.