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An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE
Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.(1) present a method for the inference of Boolean networks along with practical applications.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676479/ https://www.ncbi.nlm.nih.gov/pubmed/36419439 http://dx.doi.org/10.1016/j.patter.2022.100617 |
| _version_ | 1784833605452693504 |
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| author | Murrugarra, David Veliz-Cuba, Alan |
| author_facet | Murrugarra, David Veliz-Cuba, Alan |
| author_sort | Murrugarra, David |
| collection | PubMed |
| description | Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.(1) present a method for the inference of Boolean networks along with practical applications. |
| format | Online Article Text |
| id | pubmed-9676479 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-96764792022-11-22 An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE Murrugarra, David Veliz-Cuba, Alan Patterns (N Y) Preview Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.(1) present a method for the inference of Boolean networks along with practical applications. Elsevier 2022-11-11 /pmc/articles/PMC9676479/ /pubmed/36419439 http://dx.doi.org/10.1016/j.patter.2022.100617 Text en © 2022. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Preview Murrugarra, David Veliz-Cuba, Alan An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE |
| title | An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE |
| title_full | An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE |
| title_fullStr | An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE |
| title_full_unstemmed | An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE |
| title_short | An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE |
| title_sort | information theoretic approach for the inference of boolean networks and functions from data: bocse |
| topic | Preview |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676479/ https://www.ncbi.nlm.nih.gov/pubmed/36419439 http://dx.doi.org/10.1016/j.patter.2022.100617 |
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