Artificial Intelligence for Multi-omics Analysis Part A

Part A: Basic on Artificial Intelligence in multi-omics analysis<br>1. Introduction to Artificial Intelligence in Multi-omics Analysis<br>Sudipto Saha<br>2. Multi‐omics application in health and diseases<br>Sonika Tyagi<br>3. Artificial Intelligence in Genomics Analysis<br>Shailesh Kumar<br>4. Artificial Intelligence in Single-cell and Spatial Transcriptomics Data<br>Dinesh Gupta<br>5. Artificial Intelligence in the prediction of 3D chromatin structure and gene regulation<br>Dariusz Plewczynski<br>6. Artificial intelligence in Mass Spectrometry-based Proteomics<br>Rob Ewing<br>7. Integrating Artificial Intelligence into Metabolomics for Predicting Diseases<br>Dinesh Kumar<br>8. Artificial Intelligence in Microbial Metagenomics<br>Tarini Shankar Shankar Ghosh<br>9. Artificial Intelligence in Interactomics<br>Jake Y. Chen<br>10. Artificial Intelligence Integration in Medical Imaging Data<br>Ravi D Sharma<br>11. AI in biomolecular structural data analysis<br>Harpreet Singh and Harpreet Singh<br>12. Artificial intelligence in Cryo-Electron Microscope data<br>Smarajit Polley and Prateeka Borar<br>13. Explainable artificial intelligence for multi-omics data<br>Sudipto Bhattacharjee<br>14. Multi-Omics Cancer Stratification: from Statistical to Deep Learning Perspective<br>Pradipta Maji