[UCR_DataScience] REMINDER: Data Science talk by Prof. Wei (Vivian) Li, tomorrow Friday October 7th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder about the Data Science Seminar by Prof. Vivian Li, tomorrow
Friday at noon.

Please register using the link below if you plan to attend.

V. Tsotras

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On 10/1/22 2:34 PM, tsotras at cs.ucr.edu wrote:
> The next Data Science seminar will be next Friday, October 7th, 2022,
> 12:00-1:00pm at the MRB Seminar Room (1st floor).
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/data-science-talk-tickets-430273588887
>
> The talk will be given by Prof. Wei (Vivian) Li, Department of Statistics,
> UCR
>
> Title:
> Statistical methods for analyzing and comparing single-cell gene
> expression data
>
>
> Abstract:
>
> Single-cell RNA sequencing (scRNA-seq) experiments enable gene expression
> measurement at a single-cell resolution, and provide an opportunity to
> characterize the molecular signatures of diverse cell types and states in
> tissue development and disease progression. However, it remains a
> challenge to construct a comprehensive view of single-cell transcriptomes
> in health and disease, due to the knowledge gap in properly modeling the
> high-dimensional, sparse, and noisy scRNA-seq data. In this talk, I will
> introduce two data science methods we have developed for analyzing and
> comparing single-cell gene expression data.
>
> The first one is an integration method which enables joint analysis of
> single-cell samples from different biological conditions. This method can
> learn coordinated gene expression patterns that are common among, or
> specific to, different biological conditions, and identify cellular types
> across single-cell samples. I will also discuss the applicability of our
> method in diverse biomedical problems. The second one is a statistically
> principled method for identifying, quantifying, and comparing RNA
> transcripts from scRNA-seq data. Accurate and sensitive profiling of RNA
> transcripts is of great importance in understanding the mechanisms and
> consequences of gene expression regulation and can have diagnostic values
> in clinical settings. We propose a method to address computational
> questions arising from this biological problem.
>
>
> ------------------------------------
> Sponsored by the UCR Data Science Center, the purpose of the Data Science
> Seminar is to foster collaborations between "core" Data Science faculty
> (from CSE/ECE/Stat Departments) and faculty/visitors from other sciences
> that face Data Science problems in their research. These informal
> gatherings are open to interested faculty and graduate students. Each
> meeting will start with a talk describing research problems and then a
> discussion will follow for questions, open problems, ideas for possible
> collaborations etc.
>
> A full list of previous seminars appears at:
> http://datascience.ucr.edu/seminars
>
> Please forward this email to other colleagues or graduate students in your
> lab that may be interested.
>
> Moreover, if you are interested in giving a Data Science related talk,
> please contact me.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> Director, Data Science Major
>
>
>
>
>
>
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