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G Roider

Showing results (11-20 of 31) with videos related to

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Journal of Trace Elements in Medicine and Biology : Organ of the Society for Minerals and Trace Elements (GMS)|July 1, 1995
Silver concentrations in human tissues. their dependence on dental amalgam and other factorsG Drasch, H J Gath, E Heissler, et al.
Medicine, Science, and the Law|October 1, 1996
Carboxyhemoglobin blood concentrations in suicides by fireP Betz, G Roider, L von Meyer, et al.
Journal of Forensic Sciences|November 1, 1991
Clinical and morphological findings on mustard gas [bis(2-chloroethyl)sulfide] poisoningW Eisenmenger, G Drasch, M von Clarmann, et al.
Bioinformatics (Oxford, England)|December 17, 2008
PASTAA: identifying transcription factors associated with sets of co-regulated genesHelge G Roider, Thomas Manke, Sean O'Keeffe, et al.
Nucleic Acids Research|September 9, 2009
CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analysesHelge G Roider, Boris Lenhard, Aditi Kanhere, et al.
Nucleic Acids Research|June 1, 2010
TransFind--predicting transcriptional regulators for gene setsSzymon M Kiełbasa, Holger Klein, Helge G Roider, et al.
Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))|May 1, 1994
[Comparison of the body burden of the population of Leipzig and Munich with the heavy metals cadmium, lead and mercury--a study of human organ samples]G Drasch, R K Müller, F Grasemann, et al.
Bioinformatics (Oxford, England)|June 26, 2012
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear modelsThais G do Rego, Helge G Roider, Francisco A T de Carvalho, et al.
BMC Bioinformatics|March 13, 2014
Drug2Gene: an exhaustive resource to explore effectively the drug-target relation networkHelge G Roider, Nadia Pavlova, Ivaylo Kirov, et al.
BMC Bioinformatics|February 24, 2011
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture modelsIvan G Costa, Helge G Roider, Thais G do Rego, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Journal of Trace Elements in Medicine and Biology : Organ of the Society for Minerals and Trace Elements (GMS)|July 1, 1995
Silver concentrations in human tissues. their dependence on dental amalgam and other factorsG Drasch, H J Gath, E Heissler, et al.
Medicine, Science, and the Law|October 1, 1996
Carboxyhemoglobin blood concentrations in suicides by fireP Betz, G Roider, L von Meyer, et al.
Journal of Forensic Sciences|November 1, 1991
Clinical and morphological findings on mustard gas [bis(2-chloroethyl)sulfide] poisoningW Eisenmenger, G Drasch, M von Clarmann, et al.
Bioinformatics (Oxford, England)|December 17, 2008
PASTAA: identifying transcription factors associated with sets of co-regulated genesHelge G Roider, Thomas Manke, Sean O'Keeffe, et al.
Nucleic Acids Research|September 9, 2009
CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analysesHelge G Roider, Boris Lenhard, Aditi Kanhere, et al.
Nucleic Acids Research|June 1, 2010
TransFind--predicting transcriptional regulators for gene setsSzymon M Kiełbasa, Holger Klein, Helge G Roider, et al.
Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))|May 1, 1994
[Comparison of the body burden of the population of Leipzig and Munich with the heavy metals cadmium, lead and mercury--a study of human organ samples]G Drasch, R K Müller, F Grasemann, et al.
Bioinformatics (Oxford, England)|June 26, 2012
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear modelsThais G do Rego, Helge G Roider, Francisco A T de Carvalho, et al.
BMC Bioinformatics|March 13, 2014
Drug2Gene: an exhaustive resource to explore effectively the drug-target relation networkHelge G Roider, Nadia Pavlova, Ivaylo Kirov, et al.
BMC Bioinformatics|February 24, 2011
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture modelsIvan G Costa, Helge G Roider, Thais G do Rego, et al.
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