Browsing Fakultät für Mathematik und Informatik (inkl. GAUSS) by Advisor "Beißbarth, Tim Prof. Dr."
Now showing items 1-8 of 8
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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 ... -
Machine learning and statistical analysis to identify determinants of survival in primary glioblastoma using genome wide expression studies
(2022-07-05)Glioblastoma (GBM) is the most common and highly aggressive brain tumor. GBM poses unique challenges due to high rates of tumor recurrence ( 34%) and resistance to treatment. Despite advances in treatment strategies, the ... -
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 ... -
Analysis of expression profile and gene variation via development of methods for Next Generation Sequencing data
(2018-11-27)Since the last ten to twenty years, the cost of sequencing the human genome decreased continuously. Therefore the interest in RNA sequencing (RNA-Seq) rose as it can be used to discover the molecular mechanisms behind ... -
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 ... -
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 ... -
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 ...