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MEMENTO – a new, powerful tool that enables scientists to dive deeper into scRNAseq data
Nov 7, 2024, 15:26

MEMENTO – a new, powerful tool that enables scientists to dive deeper into scRNAseq data

Cancer Research Institute (CRI) shared a post on LinkedIn about a recent paper by Min Cheol Kim, MD/PhD Student at UCSF, published in Cell:

“Method of moments framework for differential expression analysis of single-cell RNA sequencing data”

Authors: Min Cheol Kim, Rachel Gate, David Lee, Andrew Tolopko, Andrew Lu, Erin Gordon, Eric Shifrut, Pablo Garcia-Nieto, Alexander Marson, Vasilis Ntranos, Chun Jimmie.

MEMENTO - a new, powerful tool that enables scientists to dive deeper into scRNAseq data

“Cutting-edge genomic tech, such as single-cell RNA sequencing (scRNAseq), is transforming cancer research and beyond! However, decoding data and determining its computational significance still poses a challenge.

To tackle this, researchers including former CRI Lloyd J. Old Star, Dr. Alexander Marson and former Technology Impact Award Grantee Dr. Jimmie Ye of University of California, San Francisco and Gladstone Institutes have created MEMENTO—a new, powerful tool that enables scientists to dive deeper into scRNAseq data.

MEMENTO helps uncover complex patterns in gene expression and regulation with greater precision and greater sensitivity than existing methods do. Learn more about this discovery, in a new Cell by Cell Press publication.”

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