Geodesic
Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data
Matematičeskaâ biologiâ i bioinformatika, Tome 9 (2014) no. 2, pp. 527-533.

Voir la notice de l'article provenant de la source Math-Net.Ru

Low-grade glioma is a group of tumors of central nervous system. Unlike other malignant subtypes such as glioblastoma multiforme, low-grade gliomas have a lower mortality. However, after initial treatment in about 40% of low-grade gliomas new tumor events are observed. In this study identification of new genes responsible for the aggressive phenotype of tumors was carried out using RNA-seq data from the The Cancer Genome Atlas (TCGA) database. It was found that 85 genes with affected expression levels were associated with new tumors after initial treatment of low-grade glioma. 
@article{MBB_2014_9_2_a4,
     author = {N. V. Ivanisenko and N. V. Gubanova and N. A. Kolchanov and V. A. Ivanisenko},
     title = {Identification of {Gene} {Markers} for {Aggressive} {Forms} of {Low-Grade} {Glioma} {Using} {TCGA} {Expression} {Data}},
     journal = {Matemati\v{c}eska\^a biologi\^a i bioinformatika},
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     publisher = {mathdoc},
     volume = {9},
     number = {2},
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     url = {http://geodesic.mathdoc.fr/item/MBB_2014_9_2_a4/}
}
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N. V. Ivanisenko; N. V. Gubanova; N. A. Kolchanov; V. A. Ivanisenko. Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data. Matematičeskaâ biologiâ i bioinformatika, Tome 9 (2014) no. 2, pp. 527-533. http://geodesic.mathdoc.fr/item/MBB_2014_9_2_a4/

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