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Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583012/ https://www.ncbi.nlm.nih.gov/pubmed/37859744 http://dx.doi.org/10.21037/tcr-23-993 |
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author | Machado-Neto, João Agostinho do Nascimento, Mariane Cristina Garnique, Anali Del Milagro Bernabe Lima, Keli |
author_facet | Machado-Neto, João Agostinho do Nascimento, Mariane Cristina Garnique, Anali Del Milagro Bernabe Lima, Keli |
author_sort | Machado-Neto, João Agostinho |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10583012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-105830122023-10-19 Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs Machado-Neto, João Agostinho do Nascimento, Mariane Cristina Garnique, Anali Del Milagro Bernabe Lima, Keli Transl Cancer Res Editorial AME Publishing Company 2023-08-15 2023-09-30 /pmc/articles/PMC10583012/ /pubmed/37859744 http://dx.doi.org/10.21037/tcr-23-993 Text en 2023 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Editorial Machado-Neto, João Agostinho do Nascimento, Mariane Cristina Garnique, Anali Del Milagro Bernabe Lima, Keli Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
title | Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
title_full | Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
title_fullStr | Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
title_full_unstemmed | Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
title_short | Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
title_sort | data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583012/ https://www.ncbi.nlm.nih.gov/pubmed/37859744 http://dx.doi.org/10.21037/tcr-23-993 |
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