Artificial Intelligence for Multi-omics Analysis Part A
Series: Progress in Molecular Biology and Translational Science; 221;
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 March 2026
- ISBN 9780443413476
- Binding Hardback
- No. of pages300 pages
- Size 229x152 mm
- Language English 700
Categories
Long description:
Artificial Intelligence for Multi-omics Analysis, Part A, Volume 221 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters on topics such as an Introduction to Artificial Intelligence in Multi-omics Analysis, Multi-omics application in health and diseases, Artificial Intelligence in Genomics Analysis, Artificial Intelligence in Single-cell and Spatial Transcriptomics Data, Artificial Intelligence in the prediction of 3D chromatin structure and gene regulation, Artificial intelligence in Mass Spectrometry-based Proteomics, Integrating Artificial Intelligence into Metabolomics for Predicting Diseases, and more.
Additional chapters cover Artificial Intelligence in Microbial Metagenomics, Artificial Intelligence in Interactomics, Artificial Intelligence Integration in Medical Imaging Data, AI in biomolecular structural data analysis, Artificial intelligence in Cryo-Electron Microscope data, Explainable artificial intelligence for multi-omics data, and Multi-Omics Cancer Stratification: from Statistical to Deep Learning Perspective.
Table of Contents:
Part A: Basic on Artificial Intelligence in multi-omics analysis
1. Introduction to Artificial Intelligence in Multi-omics Analysis
Sudipto Saha
2. Multi-omics application in health and diseases
Sonika Tyagi
3. Artificial Intelligence in Genomics Analysis
Shailesh Kumar
4. Artificial Intelligence in Single-cell and Spatial Transcriptomics Data
Dinesh Gupta
5. Artificial Intelligence in the prediction of 3D chromatin structure and gene regulation
Dariusz Plewczynski
6. Artificial intelligence in Mass Spectrometry-based Proteomics
Rob Ewing
7. Integrating Artificial Intelligence into Metabolomics for Predicting Diseases
Dinesh Kumar
8. Artificial Intelligence in Microbial Metagenomics
Tarini Shankar Shankar Ghosh
9. Artificial Intelligence in Interactomics
Jake Y. Chen
10. Artificial Intelligence Integration in Medical Imaging Data
Ravi D Sharma
11. AI in biomolecular structural data analysis
Harpreet Singh and Harpreet Singh
12. Artificial intelligence in Cryo-Electron Microscope data
Smarajit Polley and Prateeka Borar
13. Explainable artificial intelligence for multi-omics data
Sudipto Bhattacharjee
14. Multi-Omics Cancer Stratification: from Statistical to Deep Learning Perspective
Pradipta Maji
