CORDIS Project
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This project develops a Bayesian inference framework to accurately identify gene network topology and molecular interaction rates by integrating prior knowledge and accounting for noise in single-cell RNA sequencing data. It aims to enhance understanding of gene regulatory processes, with applications in developmental…
Regulatory processes within living cells have long been the topic of research interest and the key to understanding various diseases.
The decades of studies resulted in a large body of knowledge on molecular interactions and regulatory pathways in the cells of model organisms ranging from microorganisms to mammals.
Nevertheless, accurately inferring gene network topology at the scale of a whole cell has remained an intractable task until recently, mostly due to the large amount of single-cell da…
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