Browsing Fakultät für Mathematik und Informatik (inkl. GAUSS) by Referee "Beißbarth, Tim Prof. Dr."
Now showing items 1-10 of 10
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Development of tools to process and analyse precision oncology data in a clinical decision support framework for biomedical research projects in the scope of molecular tumour boards
(2024-11-12)The goal of precision medicine is to tailor treatments to the individual genetic profile of cancer patients, but it faces several challenges. These include the genetic complexity of tumours, the large volume of data generated ... -
A knowledge base for generating patient-specific pathways for individualized treatment decisions in clinical applications
(2022-09-29)The vast amount of published data on molecular interactions makes it increasingly challenging for researchers and practitioners to find and extract the most relevant information to target the underlying diseases. Network ... -
Network Based Integration of Proteomic and Transcriptomic Data: Study of BCR and WNT11 Signaling Pathways in Cancer Cells
(2020-05-12)Bioinformatics applications in cancer research expanded rapidly over several years in the past. Due to the fast development of high throughput technologies, it became feasible to study the presence of hundreds of genes ... -
Development of novel analysis and data integration systems to understand human gene regulation
(2018-06-27)Abstract: This thesis covers a very broad range of bioinformatics methods ranging from the development of the analysis pipeline to the data integration and development of an expression atlas (database and web application ... -
Unravelling Drug Resistance Mechanisms in Breast Cancer
(2015-06-22)The intention of this dissertation is to gain deeper insight into mechanisms of drug action on the genomic and proteomic level in HER2-positive breast cancer cell lines with different resistance phenotypes. In the era of ... -
Application of A Novel Triclustering Method in Analyzing Three Dimensional Transcriptomics Data
(2015-06-19)Due to the advancement of microarray technology over the last decade, it is feasible to monitor the gene expression dynamics not only over a set of replicates but also either a set of time points or doses of chemical ... -
Statistical Methods to Enhance Clinical Prediction with High-Dimensional Data and Ordinal Response
(2015-04-08)Advancing technology has enabled us to study the molecular configuration of single cells or whole tissue samples. Molecular biology produces vast amounts of high-dimensional omics data at continually decreasing costs, ... -
Integration of Pathway Data as Prior Knowledge into Methods for Network Reconstruction
(2014-10-23)Hundreds of databases offer vast amounts of literature knowledge about biological signaling networks. However, this knowledge is rarely integrated into current bioinformatic analyzes due to challenges in the programmatic ... -
Detektion und Analyse synergistischer Einflüsse multipler Stimuli auf zelluläre Signaltransduktionsnetzwerke in Säugetieren
(2013-11-21)Simultaneously working signals affect the behavior of organisms at systems level. Different signals have to be integrated and evaluated simultaneously by the cell. Synergistic interactions are one possibility how a cell ... -
Graph based fusion of high-dimensional gene- and microRNA expression data
(2013-01-25)One of the main goals in cancer studies including high-throughput microRNA (miRNA) and mRNA data is to find and assess prognostic signatures capable of predicting clinical outcome. Both mRNA and miRNA expression changes ...