Sökning: "Disease consensus module"

Hittade 3 uppsatser innehållade orden Disease consensus module.

  1. 1. Comparing consensus modules using S2B and MODifieR

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Daniel McCoy; [2019]
    Nyckelord :S2B; MODifieR; specific betweenness; betweenness centrality; disease module; module inference; asthma; arthritis;

    Sammanfattning : It is currently understood that diseases are typically not caused by rogue errors in genetics but have both molecular and environmental causes from myriad overlapping interactions within an interactome. Genetic errors, such as that seen by a single-nucleotide polymorphism can lead to a dysfunctional cell, which in turn can lead to systemic disruptions that result in disease phenotypes. LÄS MER

  2. 2. Evaluating the biological relevance of disease consensus modules : An in silico study of IBD pathology using a bioinformatics approach

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Joel Ströbaek; [2019]
    Nyckelord :Bioinformatics; Disease module; Consensus module; Disease consensus module; Network medicine; Inflammatory bowel disease; Crohn s disease; Ulcerative colitis; S2B; NSC; Tetralith; MODifieR;

    Sammanfattning : Inflammatory bowel disease encompasses a variety of heterogeneous chronic inflammatory diseases that affect the gastrointestinal tract, where Crohn’s disease and ulcerative colitis are the principal examples. The etiology of these, and many other complex human diseases, remain largely unknown and therefore pose relevant targets for novel research strategies. LÄS MER

  3. 3. Developing a web based tool for identification of disease modules

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Emma Persson; [2018]
    Nyckelord :Modifier;

    Sammanfattning : Complex diseases such as cancer or obesity are thought to be caused by abnormalities in multiple  genes and cannot be derived to one specific location in the genome. It has been shown that  identification of disease associated genes can be made through looking at interaction patterns in a  protein‐protein interaction network, where the disease associated genes are represented in clusters,  or disease modules. LÄS MER