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Transcriptome-based functional classifiers for direct immunotoxicity
Jia Shao
, Laura F. Berger
, Peter J. M. Hendriksen
, Ad A. C. M. Peijnenburg
*
, Henk van Loveren
, Oscar L. Volger
*
Corresponding author for this work
Translational Genomics
GROW - Prevention
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Keyphrases
Transcriptome
100%
Immunotoxic
100%
Direct Immunotoxicity
100%
Quantitative PCR
42%
Jurkat Cells
28%
External Verification
28%
Rodents
14%
Gene Expression Changes
14%
Pearson Correlation
14%
Microarray
14%
T Cells
14%
Toxicogenomics
14%
Training Set
14%
False Negative Rate
14%
Immunosuppressive Drugs
14%
Screening Method
14%
Final Set
14%
In Vitro Assay
14%
Jurkat
14%
In Vitro Screening Assay
14%
Toxicity Testing
14%
DNA Microarray
14%
Testing Approaches
14%
Compound Classes
14%
Animal-free
14%
Rate Sensitivity
14%
Gene Ontology Annotation
14%
Differentially Regulated Genes
14%
Redundancy Analysis
14%
Numerical Ratios
14%
General Toxicity Studies
14%
True Positive Rate
14%
Verification Accuracy
14%
Single Compounds
14%
INIS
genes
100%
pcr
27%
verification
27%
screening
18%
correlations
18%
toxicity
18%
performance
18%
in vitro
18%
testing
9%
data
9%
specificity
9%
sensitivity
9%
humans
9%
drugs
9%
control
9%
animals
9%
dna
9%
accuracy
9%
range
9%
complement
9%
rodents
9%
hazards
9%
redundancy
9%
immunosuppressive drugs
9%
Pharmacology, Toxicology and Pharmaceutical Science
Transcriptome
100%
Immunotoxicity
100%
Immunosuppressive Agent
25%
Toxicogenomics
25%
In Vitro Screening
25%
Chemicals and Drugs
25%
Food Science
Quantitative Reverse Transcription Polymerase Chain Reaction
100%
Gene Expression
33%