Big Data in Immunology—Sharing, Dissemination, and Repurposing
In the field of clinical research, researchers are just beginning to explore repurposing the open-access data sets to build a knowledge base, gain insight into novel discoveries, and generate data-driven hypotheses that were not originally formulated in the published studies.
Ms. Sanchita Bhattacharya and Dr. Zicheng Hu will showcase findings from the meta-analysis of open-access immunological studies and secondary analysis of clinical trial data from the National Institute of Allergy and Infectious Diseases (NIAID) and the Division of Allergy, Immunology, and Transplantation (DAIT)-funded ImmPort database. They will also present a case study on analyzing cytometry data using deep learning models, recently published in the Proceedings of the National Academy of Sciences of the United States of America.
This webinar is part of the NIAID Data Science Seminar Series.
Ms. Bhattacharya is a bioinformatics project leader at the Barker Computational Health Sciences Institute, University of California, San Francisco.
Dr. Hu is a research scientist at the Barker Computational Health Sciences Institute, University of California, San Francisco.
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