Browsing Naturwissenschaften, Mathematik und Informatik by Referee "Waack, Stephan Prof. Dr."
Now showing items 1-20 of 58
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Identification of regulatory SNPs and epistatic SNP pairs using deep learning and information theory
(2022-08-24)In the last two decades, new technologies have made DNA genotyping and sequencing far more time and cost efficient. The resulting tremendous increase in the amount of available genomic data allows for a deeper understanding ... -
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 ... -
Fast methods for metagenomic sequence search and annotation
(2022-06-16)The past two decades have seen the development of metagenomics, the study of genes and genomes of multiple organisms simultaneously. In contrast to traditional genomic techniques, which require isolating and growing ... -
A Bioinformatics Pipeline for Identifying Dysregulated Pathways in Cancer from Comparative RNA-Seq Transcriptome Analysis
(2022-04-07)Cancer is characterized as a multifactorial disease which undergoes genetic and epige- netic changes during invasive tumor growth. Thus, numerous tumor samples have been profiled using high-throughput sequencing technologies ... -
New approaches and software for sequence function prediction and gene design integrating specific knowledge on protein structure and translation
(2022-03-18)In recent years, advances in sequencing techniques resulted in an explosive increase in sequencing data. By now, there are billions of generated protein sequences available in public databases to a large extent without ... -
Vorhersage, Analyse und Bedeutung charakteristischer Transkriptionsfaktor-Bindestellen und deren potentielle Masterkontrollfunktion in der transkriptionellen Genregulation
(2021-10-19)In eukaryotes, transcriptional gene regulation is controlled by a set of transcription factors (TFs) and co-factors. Most TFs bind to specific DNA sequences. These binding sites are called transcription factor binding ... -
Graph-based Object Understanding
(2021-06-18)Computer Vision algorithms become increasingly prevalent in our everyday lives. Especially recognition systems are often employed to automatize certain tasks (i.e. quality control). In State-of-the-Art approaches global ... -
Using n-layer graph models for representing and transforming knowledge on biological pathways
(2021-03-16)Currently, the use of prior knowledge on biological pathways in research projects is often a manual process, not well documented and hard to reproduce. The aim of this thesis is the definition and implementation of a ... -
Probabilistic Models to Detect Important Sites in Proteins
(2021-02-23)Proteins are molecular machines playing almost every fundamental role in activities of life. Their biological functions are mostly driven through conformational transitions and interaction interfaces with other bio-molecules ... -
PHOENIX: A Premise to Reinforce Heterogeneous and Evolving Internet Architectures with Exemplary Applications
(2020-12-02)The Internet was designed primarily for sharing expensive resources through establishing point-to-point connection using dedicated IP addresses. However, it has since evolved both in complexity and its number of users. ... -
Constructing Temporal Transcriptional Regulatory Cascades in the Context of Development and Cell Differentiation
(2020-07-14)Cell differentiation is a complex process orchestrated by sets of regulators appearing at precise temporal points, resulting in regulatory cascades that affect the expression of broader sets of genes, ending up in the ... -
Probabilistic models for protein conformational changes
(2020-06-09)Proteins are macromolecules that perform multiple functions. They are not rigid molecules, but instead proteins can change their conformation to perform critical tasks driven by binding small ligands, by assembling into ... -
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 ... -
Alignment-free Phylogeny Reconstruction Based On Quartet Trees
(2020-03-11)Traditional methods for phylogeny reconstruction are based on multiple sequence alignments and character-based methods. This combination of computationally expensive methods leads to very accurate results, but it is ... -
Development of Agent-Based Simulation Models for Software Evolution
(2020-02-11)Software has become a part of everyday life for us. This is also associated with increasing requirements for adaptability to rapidly changing environments. This evolutionary process of software is being studied by a software ... -
Information theoretical approaches for the identification of potentially cooperating transcription factors
(2019-08-08)Transcription factors (TFs) are a special class of proteins that usually bind regulatory DNA regions such as promoters and enhancers in order to control the expression of their target genes. Today, it is well known that ... -
Deep Learning Metadata Fusion for Traffic Light to Lane Assignment
(2019-08-01)This dissertation focuses on a novel deep fusion method with heterogeneous metadata and image data to resolve the one-to-many traffic light to lane assignment problem. The traffic light to lane assignment belongs to the ... -
Mining Developer Dynamics for Agent-Based Simulation of Software Evolution
(2019-07-10)The steady growth of software in our daily life results in the need for quicker adaption of the software changing usage and requirements. This process is defined as software evolution. Primarily, it is concerned with changes ... -
Graph Partitioning for the Finite Element Method: Reducing Communication Volume with the Directed Sorted Heavy Edge Matching
(2019-05-07)A technique called the Finite Element Method is primarily utilized to numerically solve Partial Differential Equations, most commonly by the use iterative methods, over a compact domain. The partial differential equations ... -
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 ...