Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kristian Unger"'
Autor:
Herbert Braselmann, Anne-Laure Boulesteix, Horst Zitzelsberger, Kristian Unger, Julia Hess, Roman Hornung, Claus Belka, Daniel Samaga
Publikováno v:
Radiation Oncology (London, England)
Radiation Oncology, Vol 15, Iss 1, Pp 1-14 (2020)
Radiat. Oncol. 15:109 (2020)
Radiation Oncology, Vol 15, Iss 1, Pp 1-14 (2020)
Radiat. Oncol. 15:109 (2020)
Background Prognostic models based on high-dimensional omics data generated from clinical patient samples, such as tumor tissues or biopsies, are increasingly used for prognosis of radio-therapeutic success. The model development process requires two
Publikováno v:
International Journal of Molecular Sciences; Volume 16; Issue 12; Pages: 30204-30222
International Journal of Molecular Sciences
Int. J. Mol. Sci. 16, 30204-30222 (2015)
International Journal of Molecular Sciences, Vol 16, Iss 12, Pp 30204-30222 (2015)
Volume 16
Issue 12
Pages 30204-30222
International Journal of Molecular Sciences
Int. J. Mol. Sci. 16, 30204-30222 (2015)
International Journal of Molecular Sciences, Vol 16, Iss 12, Pp 30204-30222 (2015)
Volume 16
Issue 12
Pages 30204-30222
MicroRNAs represent ~22 nt long endogenous small RNA molecules that have been experimentally shown to regulate gene expression post-transcriptionally. One main interest in miRNA research is the investigation of their functional roles, which can typic
Autor:
Nils Blüthgen, Herbert Braselmann, Maria Gomolka, Sabine Hornhardt, Kristian Unger, Julia Hess, A. Michna, Horst Zitzelsberger, Martin Selmansberger, Anne Dietz
Publikováno v:
PLoS ONE 11:e0160791 (2016)
PLoS ONE
PLoS ONE, Vol 11, Iss 8, p e0160791 (2016)
PLoS ONE
PLoS ONE, Vol 11, Iss 8, p e0160791 (2016)
Gene expression time-course experiments allow to study the dynamics of transcriptomic changes in cells exposed to different stimuli. However, most approaches for the reconstruction of gene association networks (GANs) do not propose prior-selection ap
Autor:
Oscar Krijgsman, Mark A. van de Wiel, Bauke Ylstra, Renee X. de Menezes, Gwenaël G. R. Leday, Kristian Unger, Wessel N. van Wieringen
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 80 (2012)
BMC Bioinformatics, 13:80. BioMed Central
BMC Bioinformatics
van Wieringen, W N, Unger, K, Leday, G G R, Krijgsman, O, Xavier de Menezes, R, Ylstra, B & van de Wiel, M A 2012, ' Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses ', BMC Bioinformatics, vol. 13, 80, pp. 80 . https://doi.org/10.1186/1471-2105-13-80
BMC Bioinformatics 13:80 (2012)
BMC Bioinformatics, 13:80. BioMed Central
BMC Bioinformatics
van Wieringen, W N, Unger, K, Leday, G G R, Krijgsman, O, Xavier de Menezes, R, Ylstra, B & van de Wiel, M A 2012, ' Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses ', BMC Bioinformatics, vol. 13, 80, pp. 80 . https://doi.org/10.1186/1471-2105-13-80
BMC Bioinformatics 13:80 (2012)
Background: An increasing number of genomic studies interrogating more than one molecular level is published. Bioinformatics follows biological practice, and recent years have seen a surge in methodology for the integrative analysis of genomic data.