CAREER: Computational and statistical methods for studying single cell genomics data in th — NSF Award to University of Oklahoma N
New advances in sequencing technologies allow for characterizing individual cells by their gene expression levels or protein abundance while describing simultaneously the cell’s position and spatial location within a tissue sample. This emerging yet complex field of spatially-resolved cellular molecular profiling has a
| Award title | CAREER: Computational and statistical methods for studying single cell genomics data in th |
|---|---|
| Award ID | 2443386 |
| Awardee | University of Oklahoma Norman Campus |
| City | NORMAN |
| State | OK |
| Amount obligated | $553,616 |
| Principal investigator | Marmar Moussa |
| Program | EPSCoR Co-Funding, FET-Fndtns of Emerging Tech |
| Start date | 05/15/2025 |
| Abstract | New advances in sequencing technologies allow for characterizing individual cells by their gene expression levels or protein abundance while describing simultaneously the cell’s position and spatial location within a tissue sample. This emerging yet complex field of spatially-resolved cellular molecular profiling has allowed researchers to perform single cell analysis hand in hand with interrogating histological images of diseased or healthy tissue samples. This project aims to promote the progr |
| Source | NSF Awards |
$799/mo
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