التفاصيل البيبلوغرافية
| العنوان: |
Classifying flow cytometry data using Bayesian analysis helps to distinguish ALS patients from healthy controls |
| المؤلفون: |
Räuber, Saskia, Nelke, Christopher, Dunay, Ildiko Rita, Schreiber, Stefanie, Vielhaber, Stefan, Ziemssen, Tjalf, Melzer, Nico, Ruck, Tobias, Meuth, Sven G., Herty, Michael, Schroeter, Christina B., Barman, Sumanta, Pawlitzki, Marc, Ingwersen, Jens, Akgün, Katja, Günther, Rene, Garza, Alejandra P., Marggraf, Michaela |
| المصدر: |
Frontiers in immunology 14, 1198860 (2023). doi:10.3389/fimmu.2023.1198860 |
| بيانات النشر: |
Frontiers Media |
| سنة النشر: |
2023 |
| المجموعة: |
RWTH Aachen University: RWTH Publications |
| مصطلحات موضوعية: |
info:eu-repo/classification/ddc/610, ALS, Bayesian analysis, flow cytometry, immune system, mathematical modeling |
| جغرافية الموضوع: |
DE |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| العلاقة: |
info:eu-repo/semantics/altIdentifier/issn/1664-3224; info:eu-repo/semantics/altIdentifier/wos/WOS:001049673800001; https://publications.rwth-aachen.de/record/963371Test; https://publications.rwth-aachen.de/search?p=id:%22RWTH-2023-07784%22Test |
| الإتاحة: |
https://doi.org/10.3389/fimmu.2023.1198860Test
https://doi.org/10.18154/RWTH-2023-07784Test
https://publications.rwth-aachen.de/record/963371Test
https://publications.rwth-aachen.de/search?p=id:%22RWTH-2023-07784%22Test |
| حقوق: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.3AA6B34D |
| قاعدة البيانات: |
BASE |
