In silico biological discovery with large perturbation models.
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| Title: | In silico biological discovery with large perturbation models. |
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| Authors: | Miladinovic D; GSK plc, Zug, Switzerland. djordjemethz@gmail.com., Höppe T; GSK plc, Zug, Switzerland.; Helmholtz Munich, Tübingen, Germany., Chevalley M; GSK plc, Zug, Switzerland., Georgiou A; GSK plc, Zug, Switzerland., Stuart L; GSK plc, Zug, Switzerland., Mehrjou A; GSK plc, Zug, Switzerland., Bantscheff M; GSK plc, Zug, Switzerland., Schölkopf B; Max Planck Institute for Intelligent Systems, Tübingen, Germany.; ELLIS Institute, Tübingen, Germany., Schwab P; GSK plc, Zug, Switzerland. patrick.schwab@icloud.com. |
| Source: | Nature computational science [Nat Comput Sci] 2025 Nov; Vol. 5 (11), pp. 1029-1040. Date of Electronic Publication: 2025 Oct 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8457 (Electronic) Linking ISSN: 26628457 NLM ISO Abbreviation: Nat Comput Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2662-8457 |
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| DOI: | 10.1038/s43588-025-00870-1 |
