Bow-tie architectures in biological and artificial neural networks: Implications for network evolution and assay design.
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| Title: | Bow-tie architectures in biological and artificial neural networks: Implications for network evolution and assay design. |
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| Authors: | Hilliard S; Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Mosoyan K; Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Branciamore S; Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Gogoshin G; Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Zhang A; Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Simons DL; Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Rockne RC; Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Lee PP; Department of Immuno-Oncology, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA., Rodin AS; Department of Computational and Quantitative Medicine, Beckman Research Institute, City of Hope National Medical Center, 1500 East Duarte Road, Duarte, CA 91010, USA. |
| Source: | IScience [iScience] 2023 Jan 25; Vol. 26 (2), pp. 106041. Date of Electronic Publication: 2023 Jan 25 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Cell Press Country of Publication: United States NLM ID: 101724038 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-0042 (Electronic) Linking ISSN: 25890042 NLM ISO Abbreviation: iScience Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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