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P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION.
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431035/ http://dx.doi.org/10.1097/01.HS9.0000970316.97730.3e |
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author | Piñero, Paula Gutierrez, Natalia Gonzalez, Rocio Diaz, Vanesa Marin, Elena Morillas, Marina Fernandes Junior, Eduardo López Marín, Javier Hernandez, Luis Manresa Manresa, Pablo Hernandez, Maria Carmen Garcia Tarin, Fabian |
author_facet | Piñero, Paula Gutierrez, Natalia Gonzalez, Rocio Diaz, Vanesa Marin, Elena Morillas, Marina Fernandes Junior, Eduardo López Marín, Javier Hernandez, Luis Manresa Manresa, Pablo Hernandez, Maria Carmen Garcia Tarin, Fabian |
author_sort | Piñero, Paula |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-10431035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104310352023-08-17 P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. Piñero, Paula Gutierrez, Natalia Gonzalez, Rocio Diaz, Vanesa Marin, Elena Morillas, Marina Fernandes Junior, Eduardo López Marín, Javier Hernandez, Luis Manresa Manresa, Pablo Hernandez, Maria Carmen Garcia Tarin, Fabian Hemasphere Posters Lippincott Williams & Wilkins 2023-08-08 /pmc/articles/PMC10431035/ http://dx.doi.org/10.1097/01.HS9.0000970316.97730.3e Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access Abstract Book distributed under the Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) which allows third parties to download the articles and share them with others as long as they credit the author and the Abstract Book, but they cannot change the content in any way or use them commercially. |
spellingShingle | Posters Piñero, Paula Gutierrez, Natalia Gonzalez, Rocio Diaz, Vanesa Marin, Elena Morillas, Marina Fernandes Junior, Eduardo López Marín, Javier Hernandez, Luis Manresa Manresa, Pablo Hernandez, Maria Carmen Garcia Tarin, Fabian P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. |
title | P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. |
title_full | P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. |
title_fullStr | P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. |
title_full_unstemmed | P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. |
title_short | P853: AUTOMATED SEPARATION OF CELL CLUSTERS PROVIDES AN EASY AND ACCURATE STRATEGY FOR THE ANALYSIS OF MINIMAL RESIDUAL DISEASE IN MULTIPLE MIELOMA IN SINGLE 11-COLORS FLOW CYTOMETRY COMBINATION. |
title_sort | p853: automated separation of cell clusters provides an easy and accurate strategy for the analysis of minimal residual disease in multiple mieloma in single 11-colors flow cytometry combination. |
topic | Posters |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431035/ http://dx.doi.org/10.1097/01.HS9.0000970316.97730.3e |
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