Examples of 'expression data' in a sentence
Meaning of "expression data"
expression data - Expression data refers to information or data that captures the gene expression levels of an organism. It is commonly used in the field of molecular biology and genetics to analyze how genes are expressed and regulated in different conditions or tissues. Expression data is often obtained through techniques such as microarrays or RNA sequencing
How to use "expression data" in a sentence
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expression data
Appropriate bioinformatic analyses was conducted on expression data.
The expression data obtained was plotted.
Microarray gene expression data analysis.
Expression data in the patient are relativized to this data.
Clustering is a classical method to analyse gene expression data.
Expression data in the patient is relativized to this data.
Each sample was assessed in triplicate for gene expression data.
The resulting expression data are input into a database.
A microarray database is a repository containing microarray gene expression data.
Involucrin expression data was presented in the following table.
Analysis of gene expression data.
Gene expression data was used to identify canonical pathways metacoretm.
Genelogic expression data.
Many hybridization conditions are sufficient for achieving gene expression data.
These gene expression data were confirmed on the protein level.
See also
And applied to the analysis of gene expression data from microarrays.
The probe expression data were normalized using quantile normalization.
I have to make a disease associated network using gene expression data.
Studies on gene expression data and simulated data give satisfactory results.
Removing heterogeneity is of substantial interest to isolate expression data from mixed samples in silico.
Gene expression data can be used to identify genes that are coordinately regulated.
Clustering of single cell gene expression data from the mouse mammary gland.
The expression data used in the methods disclosed herein can be standardized.
Scanning and interpreting large bodies of relative gene expression data is a formidable task.
The expression data used in the methods disclosed herein can be normalized.
They combined that data with gene expression data from those brain regions.
The qPCR expression data confirmed the in silico expression profiling results.
This is often the case when assembling networks from large expression data sets.
Expression data were then compared according to the indicated pairs of data sets.
Two very different types of expression data resources were used in our datamining efforts.
IGOIM was tested and validated on simulated gene expression data.
Such gene expression data can be manipulated to generate gene expression signatures.
Inference of gene regulatory networks from sparse and noisy expression data is still a challenge nowadays.
The expression data of the selected microRNAs obtained in the previous experiment was subsequently confirmed.
This result is consistent with the expression data FIG.
The expression data obtained from the analysis then is input into the database.
The chart was generated from RNA expression data analyzed by GeneSpring software.
The expression data relating to the reference genes also is input into the database.
Primary analysis of the cDNA expression data was done with the Genepix software.
RNA expression has been found to largely parallel the protein expression data.
This gene expression data can be obtained from the public gene expression database GenAtlas.
DNA microarray technology has been the main contributor to the rapidly accumulating gene expression data.
The rightmost panel provides expression data from sorted cells taken from rheumatoid arthritis synovial tissue.
This Southern blot PTU data correlates with expression data and the spray data.
Expression data in developing fruit fly embryos is available from the BDGP in situ homepage.
Figure 1 presents hepcidin expression data.
Illumina expression data were normalized on median signal intensity before subjecting the data to a PCA.
An analysis of co-expression may be calculated using normalized expression data.
All gene expression data were normalized against GAPDH.
The proposed model integrated protein, gene and microRNA expression data.
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Examples of using Data
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Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
