Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction.
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Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisMeasuring Absolute RNA Copy Numbers at High Temporal Resolution Reveals Transcriptome Kinetics in Development.Transcriptional response in normal mouse tissues after i.v. (211)At administration - response related to absorbed dose, dose rate, and timeInferring the perturbation time from biological time course data.DynOmics to identify delays and co-expression patterns across time course experiments.Radiotherapy-induced gut toxicity: Involvement of matrix metalloproteinases and the intestinal microvasculature.Genome wide analysis of protein production load in Trichoderma reesei.Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes.GPrank: an R package for detecting dynamic elements from genome-wide time series
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P2860
Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction.
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name
Detecting time periods of diff ...... to radiotherapy dose fraction.
@en
Detecting time periods of diff ...... to radiotherapy dose fraction.
@nl
type
label
Detecting time periods of diff ...... to radiotherapy dose fraction.
@en
Detecting time periods of diff ...... to radiotherapy dose fraction.
@nl
prefLabel
Detecting time periods of diff ...... to radiotherapy dose fraction.
@en
Detecting time periods of diff ...... to radiotherapy dose fraction.
@nl
P2093
P2860
P356
P1433
P1476
Detecting time periods of diff ...... to radiotherapy dose fraction.
@en
P2093
Béatrice Micheau
Fabien Milliat
Farida Zehraoui
Georges Tarlet
Marc Benderitter
Markus Heinonen
Olivier Guipaud
Valérie Buard
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU699
P407
P577
2014-10-28T00:00:00Z