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Bioinformatics Training and Education Program

november, 2020

06nov12:00 pm1:00 pmProgress with knowledge enriched data analyticsdata science seminar

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Event Details

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Abstract:
The need to integrate knowledge types into big data analytics, generally referred to as explanatory-artificial-intelligence (x-AI), is growing. This talk will describe progress with three approaches to such knowledge enrichment: 1) the use of Independent Component Analysis (ICA) to define independently modulated sets of genes in bacterial transcriptomes, 2) the use of pangenome analysis for the thousands of bacterial genome sequences being generated, and 3) the use of machine learning methods for the analysis of antimicrobial resistance. The first case illustrates the principle of ‘getting answers to questions not asked,’ the second case illuminates ‘what is learned with scale,’ and the third case shows how mechanisms are built into genome-wide association studies (GWAS) using flux balance analysis (FBA).

Presenter:
Bernhard Palsson, PhD
Distinguished Galletti Professor of Bioengineering, Department of Bioengineering, UC San Diego
Professor of Pediatrics, UC San Diego School of Medicine

Meeting ID: 161 756 1452
Passcode: 586729
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For questions, please contact Steve Tsang at steve.tsang@nih.gov

Time

(Friday) 12:00 pm - 1:00 pm

Location

Online

Organizer

NIAIDNIAIDsteve.tsang@nih.gov

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