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Applications of Machine Learning and Deep Learning on Biological Data [electronic resource].

By: Contributor(s): Material type: TextSeries: Advances in Computational Collective Intelligence SerPublication details: Milton : Auerbach Publishers, Incorporated, 2023.Description: 1 online resource (211 p.)ISBN:
  • 9781000833768
  • 1000833763
  • 9781003328780
  • 1003328784
  • 9781000833799
  • 1000833798
Subject(s): DDC classification:
  • 570.285 23/eng/20230314
LOC classification:
  • QH324.25
Online resources:
Contents:
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
Summary: 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.
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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.

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