Informing biologically relevant signal from spatial transcriptomic data
Emir Radkevich, Darwin D’souza, Raphaël Mattiuz, Raphaël Merand, Rachel Chen, Jarod Morgenroth-Rebin, Krista Angeliadis, Daniella Nelson, Anis Kara, Travis Dawson, Igor De Souza, Kai Nie, Pauline Hamon, Samarth Hegde, Jesse Boumelha, , Vladimir Roudko
The paper benchmarks deconvolution tools for spatial transcriptomic data and introduces a novel pipeline to analyze tissue microenvironment dynamics.
bioRxiv · Sep 9, 2024 · PreprintBioinformatics