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Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646825/ https://www.ncbi.nlm.nih.gov/pubmed/36352027 http://dx.doi.org/10.1038/s41598-022-23620-z |
| _version_ | 1784827253628076032 |
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| author | Hassan, Wail M. Al-Dbass, Abeer Al-Ayadhi, Laila Bhat, Ramesa Shafi El-Ansary, Afaf |
| author_facet | Hassan, Wail M. Al-Dbass, Abeer Al-Ayadhi, Laila Bhat, Ramesa Shafi El-Ansary, Afaf |
| author_sort | Hassan, Wail M. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9646825 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-96468252022-11-15 Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis Hassan, Wail M. Al-Dbass, Abeer Al-Ayadhi, Laila Bhat, Ramesa Shafi El-Ansary, Afaf Sci Rep Author Correction Nature Publishing Group UK 2022-11-09 /pmc/articles/PMC9646825/ /pubmed/36352027 http://dx.doi.org/10.1038/s41598-022-23620-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Author Correction Hassan, Wail M. Al-Dbass, Abeer Al-Ayadhi, Laila Bhat, Ramesa Shafi El-Ansary, Afaf Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| title | Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| title_full | Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| title_fullStr | Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| title_full_unstemmed | Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| title_short | Author Correction: Discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| title_sort | author correction: discriminant analysis and binary logistic regression enable more accurate prediction of autism spectrum disorder than principal component analysis |
| topic | Author Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646825/ https://www.ncbi.nlm.nih.gov/pubmed/36352027 http://dx.doi.org/10.1038/s41598-022-23620-z |
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