Artificial Intelligence for Multi-omics Analysis Part A

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

About the Author :
David B. Teplow, Ph.D., is a Professor of Neurology, Emeritus, at UCLA and an internationally recognized leader in efforts to understand and treat Alzheimer's disease. Dr. Teplow's group has used a multi-disciplinary approach to determine how neurotoxic peptides, such as the amyloid β-protein (Alzheimer's disease) and α-synuclein (Parkinson’s disease), form neurotoxic structures that kill neurons and to develop the means to block these processes. Dr. Teplow received undergraduate training at UC Berkeley; a Ph.D. from the University of Washington; and was a postdoctoral scholar at Caltech. Before coming to UCLA, Dr. Teplow was a faculty member in the Department of Neurology, Harvard Medical School. Dr. Teplow has published >250 peer-reviewed articles, books and book chapters, and commentaries, in addition to serving on numerous national and international scientific advisory boards. Dr. Teplow was a founding editor of the Journal of Molecular Neuroscience and Current Chemical Biology, He is Editor-in-Chief of the Elsevier serial Progress in Molecular Biology and Translational Science and is Associate Editor-in-Chief of the American Journal of Neurodegenerative Disease. Prof. Vijai Singh is currently serving as Head of the Department of Biosciences, School of Science and Dean (Research & Innovation) at Indrashil University, Rajpur, Mehsana, India. Prior to this, he held the position of Associate Professor in the same department at Indrashil University. He has also served as Assistant Professor in the Department of Biological Sciences and Biotechnology at the Institute of Advanced Research, Gandhinagar, and in the Department of Biotechnology at the Invertis University, Bareilly, India. Earlier of his career, Prof. Singh worked as a Postdoctoral Fellow in the Synthetic Biology Group at the Institute of Systems and Synthetic Biology, Paris, France and at the School of Energy & Chemical Engineering at the Ulsan National Institute of Science and Technology, Ulsan, South Korea. He earned his Ph.D. in Biotechnology in 2009 from the ICAR-National Bureau of Fish Genetic Resources, Uttar Pradesh Technical University, Lucknow, India. His doctoral research focused on the development of molecular and immunoassays for the diagnosis of Aeromonas hydrophila. Prof. Singh’s research interests lies in the design and construction of novel biosynthetic pathways for production of medically and industrially important biomolecules. His laboratory is also actively engaged in developing CRISPR-Cas systems for gene knock out, knock in, gene regulation and diagnostic. With over 15 years of research and teaching experience, his areas of expertise include synthetic biology, metabolic engineering, bioinformatics, microbiology, and industrial microbiology. He has an extensive academic record, with over 110 articles, 89 book chapters, 26 books and 3 patents to his credits. Prof. Singh has received number of prestigious awards, including the Bioclues Innovation, Research and Development Award (2023) from the BIOCLUES Society, the Vice Chancellor's Best Research Award (2023) from Indrashil University, and the Agathiyar Chemical Biology Award (2023) from the Society of Chemical and Synthetic Biology. At Indrashil University, he currently serves as chairman of the Board of Study, and is a member of the Academic Council of Indrashil University. He also holds the position of the Member Secretary of the Institutional Biosafety Committee (IBSC) at the university. Dr. Singh is actively involved in national and international scientific advisory roles.