The complete self-assessment and conformance testing to the Ten Simple Rules using the rubric applied to the Verma et al. (26) multi-scale, multi-organ model of hepatic metabolism.

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Titel: The complete self-assessment and conformance testing to the Ten Simple Rules using the rubric applied to the Verma et al. (26) multi-scale, multi-organ model of hepatic metabolism.
Autoren: Alexandra Manchel, Ahmet Erdemir, Lealem Mulugeta, Joy P. Ku, Bruno V. Rego, Marc Horner, William W. Lytton, Jerry G. Myers, Rajanikanth Vadigepalli
Publikationsjahr: 2025
Schlagwörter: Medicine, Science Policy, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, workflow generates evidence, six viral disease, ordinal scale ranging, codified good practices, illustrate rubric usage, tr rubric represents, healthcare , different modeling studies, rubric considers, pragmatic rubric, %22">xlink ">, wide range, uniform approach, ten rules, systematic tool, supports credibility, source tools, scenarios including, quickly operationalized, propagation models, private decision, particular interest, neural innervation, multidisciplinary investigation, makers early, life sciences
Beschreibung: The complete self-assessment and conformance testing to the Ten Simple Rules using the rubric applied to the Verma et al. (26) multi-scale, multi-organ model of hepatic metabolism.
Publikationsart: article in journal/newspaper
Sprache: unknown
DOI: 10.1371/journal.pone.0313711.s005
Verfügbarkeit: https://doi.org/10.1371/journal.pone.0313711.s005
https://figshare.com/articles/journal_contribution/The_complete_self-assessment_and_conformance_testing_to_the_Ten_Simple_Rules_using_the_rubric_applied_to_the_Verma_et_al_26_multi-scale_multi-organ_model_of_hepatic_metabolism_/29404791
Rights: CC BY 4.0
Dokumentencode: edsbas.E13D5E87
Datenbank: BASE
Beschreibung
Abstract:The complete self-assessment and conformance testing to the Ten Simple Rules using the rubric applied to the Verma et al. (26) multi-scale, multi-organ model of hepatic metabolism.
DOI:10.1371/journal.pone.0313711.s005