Name: SMAC Talk - Scalable Multinomial Logistic-Normal Models for the Analysis of Biological Sequence Count Data
Start: 2020-09-25T14:10:00
End: 2020-09-25T15:00:00

Submitted by rpc5102 on Mon, 08/24/2020 - 09:40

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SMAC Talk - Scalable Multinomial Logistic-Normal Models for the Analysis of Biological Sequence Count Data

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SMAC Talk - Scalable Multinomial Logistic-Normal Models for the Analysis of Biological Sequence Count Data

Presented By

Justin Silverman (College of IST)

Details

Start DateFri, Sep 25, 2020
10:10 AM

End DateFri, Sep 25, 2020
11:00 AM

Zoom

Add to Calendar 2020-09-25T14:10:00 2020-09-25T15:00:00 UTC SMAC Talk - Scalable Multinomial Logistic-Normal Models for the Analysis of Biological Sequence Count Data

Zoom

Start DateFri, Sep 25, 2020
10:10 AM

End DateFri, Sep 25, 2020
11:00 AM

Presented By

Justin Silverman (College of IST)

Event Series: SMAC Talks

This week's speaker is Dr^2 Justin Silverman (M.D. & Ph.D.) from the College of Information Science and Technology. His main research interest is longitudinal modeling and experimental design of host-associated microbiota surveys. You can find more details from his webpage:

http://www.justin-silverman.com/