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1 Ergebnisse
1
Study population demographics (PBMCs) for proteomic and RNA..:
Stanislav Listopad
;
Christophe Magnan
;
Le Z. Day
...
https://figshare.com/articles/dataset/Study_population_demographics_PBMCs_for_proteomic_and_RNAseq_analysis_/25198673. , 2024
Link:
https://doi.org/10.1371/journal.pdig.0000447.t002
RT Journal T1
Study population demographics (PBMCs) for proteomic and RNAseq analysis
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25198673&Exemplar=1&LAN=DE A1 Stanislav Listopad A1 Christophe Magnan A1 Le Z. Day A1 Aliya Asghar A1 Andrew Stolz A1 John A. Tayek A1 Zhang-Xu Liu A1 Jon M. Jacobs A1 Timothy R. Morgan A1 Trina M. Norden-Krichmar YR 2024 K1 Biochemistry K1 Medicine K1 Genetics K1 Immunology K1 Inorganic Chemistry K1 Virology K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 used machine learning K1 machine learning models K1 feature selection pipelines K1 protein matches within K1 protein expression models K1 protein biomarker panels K1 built separate classification K1 liver tissue models K1 across liver tissue K1 cross validation accuracy K1 identify combined gene K1 improved classification accuracy K1 high classification accuracy K1 associated liver disease K1 div >< p K1 built integrated gene K1 liver tissue K1 classification accuracy K1 protein biomarkers K1 integrated gene K1 associated hepatitis K1 associated cirrhosis K1 following gene K1 sbp1 </ K1 proteomic data K1 pbmc data K1 liquid biopsy K1 integrated proteomics K1 healthy controls K1 gsta2 </ K1 diagnostic challenge K1 clc4m </ K1 classify patients K1 attained 90 K1 attained 83 K1 attained 100 K1 also identified K1 allowed us JF https://figshare.com/articles/dataset/Study_population_demographics_PBMCs_for_proteomic_and_RNAseq_analysis_/25198673 LK http://dx.doi.org/https://doi.org/10.1371/journal.pdig.0000447.t002 DO https://doi.org/10.1371/journal.pdig.0000447.t002 SF ELIB - SuUB Bremen
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