Sökning: "Dirk Repsilber"

Hittade 3 avhandlingar innehållade orden Dirk Repsilber.

  1. 1. Omics Data Analysis of Complex Diseases and Traits

    Författare :Saman Hosseini Ashtiani; Arne Elofsson; Dirk Repsilber; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Omics data; RNA-seq; Microarrays; Metabolomics; Network analysis; Psoriasis; E. coli; Hip osteoporosis; Lung adenocarcinoma; Spearman s correlation coefficient; LC-MS; PCA; DEG; PPI; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Sammanfattning : Following the advent of the high-throughput techniques for producing massive omics data, new possibilities and challenges have also emerged in different fields of biology and medicine. Dealing with such data on different scales with different scopes such as genomics, transcriptomics, proteomics and metabolomics, demands appropriate data collection, preprocessing, statistical analysis, interpretation and visualization. LÄS MER

  3. 2. Metagenomic Characterization of the Gut Microbiome in Cohorts of Elderly

    Författare :Sukithar K Rajan; Dirk Repsilber; Carl Mårten Lindqvist; Robert Jan Brummer; Lars-Gustav Snipen; Örebro universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Gut microbiota; metagenomics; High-Throughput Nucleotide Sequencing; reference sequence database; methods validation; microbial function; host-microbe interaction;

    Sammanfattning : Human gut microbiota plays a vital role in maintaining host health. This thesis aims to investigate the gut microbial population and function using next generation sequencing (NGS) data from faecal samples. Paper I examines the influence of sequencing depth and analysis methods in microbiota profiling using NGS whole genome sequencing (WGS) data. LÄS MER

  4. 3. Biomarkers for Diagnosis, Therapy and Prognosis in Colorectal Cancer : a study from databases, machine learning predictions to laboratory confirmations

    Författare :Xueli Zhang; Hong Zhang; Xiao-Feng Sun; Dirk Repsilber; Bairong Shen; Mauno Vihinen; Örebro universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Biomarkers; diagnosis; therapy response; prognosis; database; machine learning; CRC;

    Sammanfattning : Colorectal cancer (CRC) is one of the leading causes of cancer death worldwide. Early diagnosis and better therapy response have been believed to be associated with better prognosis. CRC biomarkers are considered as precise indicators for the early diagnosis and better therapy response. LÄS MER