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Internal standard-based analysis of microarray data2—Analysis of functional associations between HVE-genes
- Source :
- Nucleic Acids Research
- Publication Year :
- 2017
-
Abstract
- In this work we apply the Internal Standard-based analytical approach that we described in an earlier communication and here we demonstrate experimental results on functional associations among the hypervariably-expressed genes (HVE-genes). Our working assumption was that those genetic components, which initiate the disease, involve HVE-genes for which the level of expression is undistinguishable among healthy individuals and individuals with pathology. We show that analysis of the functional associations of the HVE-genes is indeed suitable to revealing disease-specific differences. We show also that another possible exploit of HVE-genes for characterization of pathological alterations is by using multivariate classification methods. This in turn offers important clues on naturally occurring dynamic processes in the organism and is further used for dynamic discrimination of groups of compared samples. We conclude that our approach can uncover principally new collective differences that cannot be discerned by individual gene analysis.
- Subjects :
- Microarray
Gene regulatory network
Gene Expression
Computational biology
Disease
Biology
03 medical and health sciences
0302 clinical medicine
Genetic variation
Genetics
Cluster Analysis
Humans
Gene Regulatory Networks
Gene
Organism
Oligonucleotide Array Sequence Analysis
030304 developmental biology
0303 health sciences
Tumor Necrosis Factor-alpha
Gene Expression Profiling
Computational Biology
Genetic Variation
Reference Standards
Gene expression profiling
Expression (architecture)
Data Interpretation, Statistical
030220 oncology & carcinogenesis
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....85a498972d59f634c8b66d7566fb42a5