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Alexander Sturn
Researcher at Graz University of Technology
Publications - 10
Citations - 7038
Alexander Sturn is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Microarray databases & Gene chip analysis. The author has an hindex of 9, co-authored 10 publications receiving 6776 citations. Previous affiliations of Alexander Sturn include University of Graz.
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TM4: a free, open-source system for microarray data management and analysis.
Alexander I. Saeed,Vasily Sharov,James R. White,J. Li,Wei Liang,Nirmal Bhagabati,John C. Braisted,Maria I. Klapa,T. Currier,Mathangi Thiagarajan,Alexander Sturn,Mark Snuffin,A. Rezantsev,D. Popov,A. Ryltsov,E. Kostukovich,I. Borisovsky,Z. Liu,A. Vinsavich,V. Trush,John Quackenbush +20 more
TL;DR: This research presents a novel and scalable approach to genome engineering that addresses the challenge of integrating RNAseq data to provide real-time information about the “silent” response of the immune system to DNA editing.
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Genesis: cluster analysis of microarray data
TL;DR: Genesis integrates various tools for microarray data analysis such as filters, normalization and visualization tools, distance measures as well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines.
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CARMAweb: comprehensive R- and bioconductor-based web service for microarray data analysis
TL;DR: CARMAweb (Comprehensive R-based Microarray Analysis web service) performs data preprocessing, detection of differentially expressed genes, cluster analysis, dimension reduction and visualization, classification, and Gene Ontology-term analysis.
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Molecular processes during fat cell development revealed by gene expression profiling and functional annotation
Hubert Hackl,Thomas R Burkard,Thomas R Burkard,Alexander Sturn,Renee Rubio,Alexander Schleiffer,Sun Tian,John Quackenbush,Frank Eisenhaber,Zlatko Trajanoski +9 more
TL;DR: Large-scale transcription profiling in conjunction with sophisticated bioinformatics analyses can provide not only a list of novel players in a particular setting but also a global view on biological processes and molecular networks.
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MARS: Microarray analysis, retrieval, and storage system
Michael Maurer,Robert Molidor,Alexander Sturn,Juergen Hartler,Hubert Hackl,Gernot Stocker,Andreas Prokesch,Marcel Scheideler,Zlatko Trajanoski +8 more
TL;DR: An integrated system tailored to serve the specific needs of microarray based research projects using a unique fusion of Web based and standalone applications connected to the latest J2EE application server technology is developed.