Publications by authors named "Marco Stock"
Motivation: In recent years, many algorithms for inferring gene regulatory networks from single-cell transcriptomic data have been published. Several studies have evaluated their accuracy in estimating the presence of an interaction between pairs of genes. However, these benchmarking analyses do not quantify the algorithms' ability to capture structural properties of networks, which are fundamental, e.
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- Single-cell genomics enables the identification of cell types based on their molecular profiles, especially helping to find novel and rare cell types through RNA sequencing.
- The new tool CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types) is designed to identify genes that could serve as markers for these rare cell types, addressing a limitation of traditional clustering methods.
- CIARA has proven to outperform existing techniques for detecting rare cell types and can be applied to various single-cell data types, with user-friendly implementations available in R and Python.