Cellarity Releases Novel, Open-Source, Single-Cell Dataset and Invites the Machine Learning and Computational Biology Communities to Develop New Algorithms Capable of Learning Fundamental Rules of Cell Behavio

The dataset will be publicly available for a Kaggle competition presented at NeurIPS 2022 hosted by Open Problems in Single-Cell Analysis in collaboration with Chan Zuckerberg Initiative, Chan Zuckerberg Biohub, Yale University, and Helmholtz Munich

Excerpt from the Press Release:

SOMERVILLE, Mass.–(BUSINESS WIRE)–Cellarity, a life sciences company founded by Flagship Pioneering to transform the way medicines are created, announced today the release of a unique single-cell dataset to accelerate innovation in mapping multimodal genetic information across cell states and over time. This dataset will be used to power a competition hosted by Open Problems in Single-Cell Analysis.

Cells are among the most complex and dynamic systems and are regulated by the interplay of DNA, RNA, and proteins. Recent technological advances have made it possible to measure these cellular features and such data provide, for the first time, a direct and comprehensive view spanning the layers of gene regulation that drive biological systems and give rise to disease.

“Advancements in single-cell technologies now make it possible to decode genetic regulation, and we are excited to generate another first-of-its-kind dataset to support Open Problems in Single Cell Analysis,” said Fabrice Chouraqui, PharmD, CEO of Cellarity and a CEO-Partner at Flagship Pioneering. “Developing new machine learning algorithms that can predict how a single-cell genome can drive a diversity of cellular states will provide new insights into how cells and tissues move from health to disease and support informed design of new medicines.”

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