Reconstructing dynamic regulatory networks from time series single cell data

Speaker: Ziv Bar-Joseph , Carnegie Mellon University (CMU)

Date: Wednesday, May 06, 2020

Time: 11:30 AM to 1:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: Zoom Meeting ID 540212779 Password 759321

Event Type: Seminar

Room Description:

Host: Bonnie Berger, CSAIL & Mathematics

Contact: Patrice Macaluso, 617-253-3037, macaluso@csail.mit.edu

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Reminders to: seminars@csail.mit.edu, bioinfo-seminar@lists.csail.mit.edu, berger-core@mit.edu, allmath@mit.edu

Reminder Subject: TALK: Reconstructing dynamic regulatory networks from time series single cell data

Biological processes, including those involved in immune response, disease progression and development, are often dynamic. To fully understand and model regulatory networks that are activated as part of these processes requires the integration of static and times series bulk and single cell data. I will discuss statistical and active learning methods for designing experiments for studying such systems and methods using continuous state hidden Markov models for the analysis and integration of profiled data. An application of these methods for improving protocols for the differentiation of iPSCs to lung cells will be presented.

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See other events that are part of the Bioinformatics Seminar Series 2020.

Created by Patrice Macaluso at Tuesday, April 21, 2020 at 2:54 PM.