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Highly informative marker sets consisting of genes with low individual degree of differential expression

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Highly informative marker sets consisting of genes with low individual degree of differential expression. / Galatenko, V V; Shkurnikov, M Yu; Samatov, T R; Galatenko, A V; Mityakina, I A; Kaprin, A D; Schumacher, U; Tonevitsky, A G.

in: SCI REP-UK, Jahrgang 5, 08.10.2015, S. Art. 14967.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Galatenko, VV, Shkurnikov, MY, Samatov, TR, Galatenko, AV, Mityakina, IA, Kaprin, AD, Schumacher, U & Tonevitsky, AG 2015, 'Highly informative marker sets consisting of genes with low individual degree of differential expression', SCI REP-UK, Jg. 5, S. Art. 14967. https://doi.org/10.1038/srep14967

APA

Galatenko, V. V., Shkurnikov, M. Y., Samatov, T. R., Galatenko, A. V., Mityakina, I. A., Kaprin, A. D., Schumacher, U., & Tonevitsky, A. G. (2015). Highly informative marker sets consisting of genes with low individual degree of differential expression. SCI REP-UK, 5, Art. 14967. https://doi.org/10.1038/srep14967

Vancouver

Galatenko VV, Shkurnikov MY, Samatov TR, Galatenko AV, Mityakina IA, Kaprin AD et al. Highly informative marker sets consisting of genes with low individual degree of differential expression. SCI REP-UK. 2015 Okt 8;5:Art. 14967. https://doi.org/10.1038/srep14967

Bibtex

@article{cee30a9e1db148a09b39317e57b35e70,
title = "Highly informative marker sets consisting of genes with low individual degree of differential expression",
abstract = "Genes with significant differential expression are traditionally used to reveal the genetic background underlying phenotypic differences between cancer cells. We hypothesized that informative marker sets can be obtained by combining genes with a relatively low degree of individual differential expression. We developed a method for construction of highly informative gene combinations aimed at the maximization of the cumulative informative power and identified sets of 2-5 genes efficiently predicting recurrence for ER-positive breast cancer patients. The gene combinations constructed on the basis of microarray data were successfully applied to data acquired by RNA-seq. The developed method provides the basis for the generation of highly efficient prognostic and predictive gene signatures for cancer and other diseases. The identified gene sets can potentially reveal novel essential segments of gene interaction networks and pathways implied in cancer progression.",
author = "Galatenko, {V V} and Shkurnikov, {M Yu} and Samatov, {T R} and Galatenko, {A V} and Mityakina, {I A} and Kaprin, {A D} and U Schumacher and Tonevitsky, {A G}",
year = "2015",
month = oct,
day = "8",
doi = "10.1038/srep14967",
language = "English",
volume = "5",
pages = "Art. 14967",
journal = "SCI REP-UK",
issn = "2045-2322",
publisher = "NATURE PUBLISHING GROUP",

}

RIS

TY - JOUR

T1 - Highly informative marker sets consisting of genes with low individual degree of differential expression

AU - Galatenko, V V

AU - Shkurnikov, M Yu

AU - Samatov, T R

AU - Galatenko, A V

AU - Mityakina, I A

AU - Kaprin, A D

AU - Schumacher, U

AU - Tonevitsky, A G

PY - 2015/10/8

Y1 - 2015/10/8

N2 - Genes with significant differential expression are traditionally used to reveal the genetic background underlying phenotypic differences between cancer cells. We hypothesized that informative marker sets can be obtained by combining genes with a relatively low degree of individual differential expression. We developed a method for construction of highly informative gene combinations aimed at the maximization of the cumulative informative power and identified sets of 2-5 genes efficiently predicting recurrence for ER-positive breast cancer patients. The gene combinations constructed on the basis of microarray data were successfully applied to data acquired by RNA-seq. The developed method provides the basis for the generation of highly efficient prognostic and predictive gene signatures for cancer and other diseases. The identified gene sets can potentially reveal novel essential segments of gene interaction networks and pathways implied in cancer progression.

AB - Genes with significant differential expression are traditionally used to reveal the genetic background underlying phenotypic differences between cancer cells. We hypothesized that informative marker sets can be obtained by combining genes with a relatively low degree of individual differential expression. We developed a method for construction of highly informative gene combinations aimed at the maximization of the cumulative informative power and identified sets of 2-5 genes efficiently predicting recurrence for ER-positive breast cancer patients. The gene combinations constructed on the basis of microarray data were successfully applied to data acquired by RNA-seq. The developed method provides the basis for the generation of highly efficient prognostic and predictive gene signatures for cancer and other diseases. The identified gene sets can potentially reveal novel essential segments of gene interaction networks and pathways implied in cancer progression.

U2 - 10.1038/srep14967

DO - 10.1038/srep14967

M3 - SCORING: Journal article

C2 - 26446398

VL - 5

SP - Art. 14967

JO - SCI REP-UK

JF - SCI REP-UK

SN - 2045-2322

ER -