Structure-based identification of sensor species for anticipating critical transitions.
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| Title: | Structure-based identification of sensor species for anticipating critical transitions. |
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| Authors: | Aparicio A; Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115., Velasco-Hernández JX; Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México., Moog CH; Laboratoire des Sciences du Numérique de Nantes, UMR 6004, CNRS, Nantes 44321, France., Liu YY; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115., Angulo MT; Consejo Nacional de Ciencia y Tecnología-Institute of Mathematics, Universidad Nacional Autónoma de México, 76230 Juriquilla, México mangulo@im.unam.mx. |
| Source: | Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2021 Dec 21; Vol. 118 (51). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study |
| Journal Info: | Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1091-6490 |
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| DOI: | 10.1073/pnas.2104732118 |
