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Benedikt Brors

Showing results (1-10 of 236) with videos related to

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BMC Bioinformatics|November 8, 2005
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypesPatrick Warnat, Roland Eils, Benedikt Brors
BMC Bioinformatics|January 13, 2010
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasetsEsteban Czwan, Benedikt Brors, David Kipling
Journal of Translational Medicine|July 3, 2025
Expression signatures with specificity for type I and II IFN response and relevance for autoimmune diseases and cancerBogac Aybey, Benedikt Brors, Eike Staub
Scientific Reports|February 20, 2020
Assessment of modelling strategies for drug response prediction in cell lines and xenograftsRoman Kurilov, Benjamin Haibe-Kains, Benedikt Brors
European Journal of Human Genetics : EJHG|September 19, 2019
Distributed Ledger Technology in genomics: a call for EuropeScott Thiebes, Matthias Schlesner, Benedikt Brors, et al.
Frontiers in Immunology|August 23, 2023
Immune cell type signature discovery and random forest classification for analysis of single cell gene expression datasetsBogac Aybey, Sheng Zhao, Benedikt Brors, et al.
Evolutionary Bioinformatics Online|November 4, 2015
In Silico Gene Regulatory Network of the Maurer's Cleft Pathway in Plasmodium falciparumItunuoluwa Isewon, Jelili Oyelade, Benedikt Brors, et al.
Gene Regulation and Systems Biology|November 26, 2009
New insights into the genetic regulation of Plasmodium falciparum obtained by Bayesian modelingSvetlana Bulashevska, Ezekiel Adebiyi, Benedikt Brors, et al.
The Journal of Experimental Medicine|January 22, 2004
Medullary epithelial cells of the human thymus express a highly diverse selection of tissue-specific genes colocalized in chromosomal clustersJörn Gotter, Benedikt Brors, Manfred Hergenhahn, et al.
International Journal of Cancer|June 2, 2004
Pathways of urothelial cancer progression suggested by Bayesian network analysis of allelotyping dataSvetlana Bulashevska, Orsolya Szakacs, Benedikt Brors, et al.
Pageof 24

Showing results (1-10 of 236) with videos related to

Sort By:
Pageof 24
BMC Bioinformatics|November 8, 2005
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypesPatrick Warnat, Roland Eils, Benedikt Brors
BMC Bioinformatics|January 13, 2010
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasetsEsteban Czwan, Benedikt Brors, David Kipling
Journal of Translational Medicine|July 3, 2025
Expression signatures with specificity for type I and II IFN response and relevance for autoimmune diseases and cancerBogac Aybey, Benedikt Brors, Eike Staub
Scientific Reports|February 20, 2020
Assessment of modelling strategies for drug response prediction in cell lines and xenograftsRoman Kurilov, Benjamin Haibe-Kains, Benedikt Brors
European Journal of Human Genetics : EJHG|September 19, 2019
Distributed Ledger Technology in genomics: a call for EuropeScott Thiebes, Matthias Schlesner, Benedikt Brors, et al.
Frontiers in Immunology|August 23, 2023
Immune cell type signature discovery and random forest classification for analysis of single cell gene expression datasetsBogac Aybey, Sheng Zhao, Benedikt Brors, et al.
Evolutionary Bioinformatics Online|November 4, 2015
In Silico Gene Regulatory Network of the Maurer's Cleft Pathway in Plasmodium falciparumItunuoluwa Isewon, Jelili Oyelade, Benedikt Brors, et al.
Gene Regulation and Systems Biology|November 26, 2009
New insights into the genetic regulation of Plasmodium falciparum obtained by Bayesian modelingSvetlana Bulashevska, Ezekiel Adebiyi, Benedikt Brors, et al.
The Journal of Experimental Medicine|January 22, 2004
Medullary epithelial cells of the human thymus express a highly diverse selection of tissue-specific genes colocalized in chromosomal clustersJörn Gotter, Benedikt Brors, Manfred Hergenhahn, et al.
International Journal of Cancer|June 2, 2004
Pathways of urothelial cancer progression suggested by Bayesian network analysis of allelotyping dataSvetlana Bulashevska, Orsolya Szakacs, Benedikt Brors, et al.
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