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Register Meeting ID: 161 756 1452 Passcode: 586729 One tap mobile +16692545252,,1617561452#,,,,,,0#,,586729# US (San Jose) +16468287666,,1617561452#,,,,,,0#,,586729# US (New York) Dial by your location +1 669 254 5252 US (San Jose) +1 646 828 7666 US (New York) Meeting ID: 161 756 1452 Passcode: 586729 Find your local number: https://nih.zoomgov.com/zoomconference?m=9FmUE6fZIDp6Tv-Dngyg2Kooz1qSAlvs Join by H.323 161.199.138.10 (US West) 161.199.136.10 (US East) Meeting ID: 161 756 1452 Passcode: 586729 Speakers: Sanchita Bhattacharya, Bioinformatics Project Leader Barker Computational Health Sciences Institute(BCHSI), University of California, San Francisco (UCSF) Zicheng Hu, Ph.D., Research Scientist Barker Computational Health Sciences Institute(BCHSI), University of California, San Francisco (UCSF) Abstract: In the field of clinical research, we are just beginning to explore repurposing the open-access datasets to build a knowledge base, gain insight into novel discoveries, and generate data-driven hypotheses that were not originally formulated in the published studies. This presentation will showcase the significant efforts in the meta-analysis of open-access immunological studies and secondary analysis of clinical trial data from NIAID-DAIT funded ImmPort database. We are also going to present a case study on analyzing cytometry data using deep learning models, recently published in PNAS. https://www.pnas.org/content/117/35/21373