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Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer Health
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224955/ http://dx.doi.org/10.1097/01.GOX.0000667416.91205.13 |
| _version_ | 1783534011889483776 |
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| author | Stepien, David M. Marini, Simone Hwang, Charles Pagani, Chase A. Sorkin, Michael Visser, Noelle D. Huber, Amanda K. Vasquez, Kaetlin Li, Jun Hatsell, Sarah Economides, Aris Mascharak, Shamik Longaker, Michael T. Levi, Benjamin |
| author_facet | Stepien, David M. Marini, Simone Hwang, Charles Pagani, Chase A. Sorkin, Michael Visser, Noelle D. Huber, Amanda K. Vasquez, Kaetlin Li, Jun Hatsell, Sarah Economides, Aris Mascharak, Shamik Longaker, Michael T. Levi, Benjamin |
| author_sort | Stepien, David M. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7224955 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Wolters Kluwer Health |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-72249552020-06-15 Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics Stepien, David M. Marini, Simone Hwang, Charles Pagani, Chase A. Sorkin, Michael Visser, Noelle D. Huber, Amanda K. Vasquez, Kaetlin Li, Jun Hatsell, Sarah Economides, Aris Mascharak, Shamik Longaker, Michael T. Levi, Benjamin Plast Reconstr Surg Glob Open PSRC Abstract Supplement Wolters Kluwer Health 2020-05-13 /pmc/articles/PMC7224955/ http://dx.doi.org/10.1097/01.GOX.0000667416.91205.13 Text en Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
| spellingShingle | PSRC Abstract Supplement Stepien, David M. Marini, Simone Hwang, Charles Pagani, Chase A. Sorkin, Michael Visser, Noelle D. Huber, Amanda K. Vasquez, Kaetlin Li, Jun Hatsell, Sarah Economides, Aris Mascharak, Shamik Longaker, Michael T. Levi, Benjamin Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics |
| title | Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics |
| title_full | Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics |
| title_fullStr | Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics |
| title_full_unstemmed | Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics |
| title_short | Abstract 89: Identifying The Myeloid Subpopulation Responsible For Tissue Fibrosis Across Organ Systems Via Machine Learning Parameterization And Predictive Transcriptomics |
| title_sort | abstract 89: identifying the myeloid subpopulation responsible for tissue fibrosis across organ systems via machine learning parameterization and predictive transcriptomics |
| topic | PSRC Abstract Supplement |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224955/ http://dx.doi.org/10.1097/01.GOX.0000667416.91205.13 |
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