Artificial Intelligence for Multi-omics Analysis Part A

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.

• Part A: Basic on Artificial Intelligence in multi-omics analysis1. Introduction to Artificial Intelligence in Multi-omics AnalysisSudipto Saha2. Multi‐omics application in health and diseasesSonika Tyagi3. Artificial Intelligence in Genomics AnalysisShailesh Kumar4. Artificial Intelligence in Single-cell and Spatial Transcriptomics DataDinesh Gupta5. Artificial Intelligence in the prediction of 3D chromatin structure and gene regulationDariusz Plewczynski6. Artificial intelligence in Mass Spectrometry-based ProteomicsRob Ewing7. Integrating Artificial Intelligence into Metabolomics for Predicting DiseasesDinesh Kumar8. Artificial Intelligence in Microbial MetagenomicsTarini Shankar Shankar Ghosh9. Artificial Intelligence in InteractomicsJake Y. Chen10. Artificial Intelligence Integration in Medical Imaging DataRavi D Sharma11. AI in biomolecular structural data analysisHarpreet Singh and Harpreet Singh12. Artificial intelligence in Cryo-Electron Microscope dataSmarajit Polley and Prateeka Borar13. Explainable artificial intelligence for multi-omics dataSudipto Bhattacharjee14. Multi-Omics Cancer Stratification: from Statistical to Deep Learning PerspectivePradipta Maji