Multiplying insights from perturbation experiments: predicting new perturbation combinations
Graphical Abstract Experimentally exploring the effect of all perturbation combinations is not feasible. In their recent study, Theis and colleagues (Lotfollahi et al, 2023) present an approach that uses deep generative models to predict the effects of new perturbations from high‐throughput single p...
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| Format: | Article |
| Language: | English |
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Springer Nature
2023-05-01
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| Series: | Molecular Systems Biology |
| Online Access: | https://doi.org/10.15252/msb.202311667 |
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| _version_ | 1849760966648004608 |
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| author | Joshua Welch |
| author_facet | Joshua Welch |
| author_sort | Joshua Welch |
| collection | DOAJ |
| description | Graphical Abstract Experimentally exploring the effect of all perturbation combinations is not feasible. In their recent study, Theis and colleagues (Lotfollahi et al, 2023) present an approach that uses deep generative models to predict the effects of new perturbations from high‐throughput single perturbation experiments. |
| format | Article |
| id | doaj-art-4f0ea6ac317842d0a9313a5fb252a9ce |
| institution | DOAJ |
| issn | 1744-4292 |
| language | English |
| publishDate | 2023-05-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Molecular Systems Biology |
| spelling | doaj-art-4f0ea6ac317842d0a9313a5fb252a9ce2025-08-20T03:06:10ZengSpringer NatureMolecular Systems Biology1744-42922023-05-011961210.15252/msb.202311667Multiplying insights from perturbation experiments: predicting new perturbation combinationsJoshua Welch0University of MichiganGraphical Abstract Experimentally exploring the effect of all perturbation combinations is not feasible. In their recent study, Theis and colleagues (Lotfollahi et al, 2023) present an approach that uses deep generative models to predict the effects of new perturbations from high‐throughput single perturbation experiments.https://doi.org/10.15252/msb.202311667 |
| spellingShingle | Joshua Welch Multiplying insights from perturbation experiments: predicting new perturbation combinations Molecular Systems Biology |
| title | Multiplying insights from perturbation experiments: predicting new perturbation combinations |
| title_full | Multiplying insights from perturbation experiments: predicting new perturbation combinations |
| title_fullStr | Multiplying insights from perturbation experiments: predicting new perturbation combinations |
| title_full_unstemmed | Multiplying insights from perturbation experiments: predicting new perturbation combinations |
| title_short | Multiplying insights from perturbation experiments: predicting new perturbation combinations |
| title_sort | multiplying insights from perturbation experiments predicting new perturbation combinations |
| url | https://doi.org/10.15252/msb.202311667 |
| work_keys_str_mv | AT joshuawelch multiplyinginsightsfromperturbationexperimentspredictingnewperturbationcombinations |