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Person

Rainer König (1968-)

Bioinformatiker

Name	Rainer König
Zeit	1968- (Lebensdaten)
Ort	Heidelberg (Wirkungsort) Jena (Wirkungsort) Deutschland
Akademischer Grad bzw. Titel	Prof. Dr.
Beruf	Bioinformatiker (charakteristischer Beruf)
Variante	Rainer Koenig
Beziehung	Universitätsklinikum Jena Integriertes Forschungs- und Behandlungszentrum Sepsis und Sepsisfolgen Universität Heidelberg. Institut für Pharmazie und Molekulare Biotechnologie
Weitere Angaben	seit März 2013 Professur am Universitätsklinikum Jena, Leiter der Bioinformatikgruppe Systembiologie der Sepsis / König-Lab
Datensatztyp	Person
GND-Nummer	121507076
Datensatz-ID	121507076
Beteiligt an alle anzeigen Use of IFNγ/IL10 Ratio for Stratification of Hydrocortisone Therapy in Patients With Septic Shock Predicting the carbon source for Bacillus subtilis by integrating gene expression profiles into a constraintbased metabolic model Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning Use of IFNγ/IL10 Ratio for Stratification of Hydrocortisone Therapy in Patients With Septic Shock Improving the outcome of the critically ill with cortico- and sex-steroids employing clinico-transcriptomics approaches Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach Temporal progression of gene regulation of peripheral white blood cells explains gender dimorphism of critically ill patients after trauma Differential RNA-Seq and transcription start site annotation in Chlamydia Induction of ER and mitochondrial stress by the alkylphosphocholine erufosine in oral squamous cell carcinoma cells Analysis and comparison of the glycoproteomic phenotype of TLR4- and TLR2-induced tolerance in human monocytes Distinguishing fungal from bacterial infection : a mixed integer linear programming approach SOX5 is involved in balanced MITF regulation in human melanoma cells Computational Analysis of Metabolic Reprogramming in Tumors Network topology-based detection of differential gene regulation and regulatory switches in cell metabolism and signaling Regulation patterns in signaling networks of cancer Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation Analyzing the regulation of metabolic pathways in human breast cancer Identifying essential genes in bacterial metabolic networks with machine learning methods Machine learning based analyses on metabolic networks supports high-throughput knockout screens Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms Analyse der Struktur und Interaktion von Proteinen und anderen Biopolymeren

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Katalog der Deutschen Nationalbibliothek

Rainer König (1968-)

Use of IFNγ/IL10 Ratio for Stratification of Hydrocortisone Therapy in Patients With Septic Shock

Predicting the carbon source for Bacillus subtilis by integrating gene expression profiles into a constraintbased metabolic model

Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

Use of IFNγ/IL10 Ratio for Stratification of Hydrocortisone Therapy in Patients With Septic Shock

Improving the outcome of the critically ill with cortico- and sex-steroids employing clinico-transcriptomics approaches

Modelling TERT regulation across 19 different cancer types based on the MIPRIP 2.0 gene regulatory network approach

Temporal progression of gene regulation of peripheral white blood cells explains gender dimorphism of critically ill patients after trauma

Differential RNA-Seq and transcription start site annotation in Chlamydia

Induction of ER and mitochondrial stress by the alkylphosphocholine erufosine in oral squamous cell carcinoma cells

Analysis and comparison of the glycoproteomic phenotype of TLR4- and TLR2-induced tolerance in human monocytes

Distinguishing fungal from bacterial infection : a mixed integer linear programming approach

SOX5 is involved in balanced MITF regulation in human melanoma cells

Computational Analysis of Metabolic Reprogramming in Tumors

Network topology-based detection of differential gene regulation and regulatory switches in cell metabolism and signaling

Regulation patterns in signaling networks of cancer

Identification of the Rage-dependent gene regulatory network in a mouse model of skin inflammation

Analyzing the regulation of metabolic pathways in human breast cancer

Identifying essential genes in bacterial metabolic networks with machine learning methods

Machine learning based analyses on metabolic networks supports high-throughput knockout screens

Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms

Analyse der Struktur und Interaktion von Proteinen und anderen Biopolymeren