Abstract
AbstractBiolord is a deep generative method for disentangling single-cell multi-omic data to known and unknown attributes, including spatial, temporal and disease states, used to reveal the decoupled biological signatures over diverse single-cell modalities and biological systems. By virtually shifting cells across states, biolord generates experimentally inaccessible samples, outperforming state-of-the-art methods in predictions of cellular response to unseen drugs and genetic perturbations. Biolord is available at https://github.com/nitzanlab/biolord.
Funder
Azrieli Foundation Early Career Faculty Fellowship Alon Fellowship European Union
Council for Higher Education
Clore Scholarship for Ph.D students
the Israeli Science Foundation
Publisher
Springer Science and Business Media LLC
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