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Cited by in F6Publishing
For: Hughes RE, Elliott RJR, Dawson JC, Carragher NO. High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need. Cell Chem Biol 2021;28:338-55. [PMID: 33740435 DOI: 10.1016/j.chembiol.2021.02.015] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 DiMucci D, Kon M, Segrè D. BowSaw: Inferring Higher-Order Trait Interactions Associated With Complex Biological Phenotypes. Front Mol Biosci 2021;8:663532. [PMID: 34222331 DOI: 10.3389/fmolb.2021.663532] [Reference Citation Analysis]
2 Vincent F, Nueda A, Lee J, Schenone M, Prunotto M, Mercola M. Phenotypic drug discovery: recent successes, lessons learned and new directions. Nat Rev Drug Discov. [DOI: 10.1038/s41573-022-00472-w] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Sanchez-Garrido J, Alberdi L, Chatterjee S, Frankel G, Mullineaux-Sanders C. Type III secretion system effector subnetworks elicit distinct host immune responses to infection. Curr Opin Microbiol 2021;64:19-26. [PMID: 34537517 DOI: 10.1016/j.mib.2021.08.008] [Reference Citation Analysis]
4 He S, Zhao D, Ling Y, Cai H, Cai Y, Zhang J, Wang L. Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells. Front Pharmacol 2021;12:796534. [PMID: 34975493 DOI: 10.3389/fphar.2021.796534] [Reference Citation Analysis]
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