MAGNETO: Marker pAnels GeNEraTor with multi-Objective optimization
Project description
MAGNETO: Marker pAnels GeNEraTor with multi-Objective optimization
MAGNETO is a user-friendly and fully-automatic framework that exploits Multi-objective Evolutionary Algorithms (MOAEs) to solve a tailored bi-objective optimization problem, specifically designed to build effective marker panels. MAGNETO can thus help researchers to identify the most promising marker panels, starting from a gene expression matrix with single-cell resolution data and a cell type identity for each cell.
For further information please visit: https://gitlab.com/andrea-tango/magneto
We’re always happy to hear of any suggestions, issues, bug reports, and possible ideas for collaboration.
Andrea Tangherloni <andrea.tangherloni@unibocconi.it> (Bocconi University, Italy)
Simone Riva <simone.riva@imm.ox.ac.uk> <simo.riva15@gmail.com> (University of Oxford, UK)
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