Sökning: "glioblastoma"

Visar resultat 1 - 5 av 28 uppsatser innehållade ordet glioblastoma.

  1. 1. Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Kári Kristjánsson; [2023-08-08]
    Nyckelord :;

    Sammanfattning : Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational algorithm known as ScRegClust to dissect single-cell RNA-sequencing (scRNA-seq) data from brain tumors. LÄS MER

  3. 2. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Raziyeh Mohseni; [2023]
    Nyckelord :;

    Sammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER

  4. 3. Computational prediction of cell-cell interactions in the brain-tumour microenvironment

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Paula Camargo Romera; [2023]
    Nyckelord :Cancer; Glioblastoma; Computational Biology; Bioinformatics; Microenvironment; Brain tumour; Interactions; Systems Biology;

    Sammanfattning : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. LÄS MER

  5. 4. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Christoforos Spyretos; [2023]
    Nyckelord :medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

    Sammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER

  7. 5. Characterization of the immunomicroenvironment of glioblastoma : Optimization of an antibody panel for detection of glioblastoma TME cells and effect of C3 on glioma cells.

    Kandidat-uppsats, Malmö universitet/Fakulteten för hälsa och samhälle (HS)

    Författare :Julia Wahldén; [2023]
    Nyckelord :Brain; cancer; glioblastoma; immune cells; immunofluorescence; tumor microenvironment; Cancer; glioblastom; immunceller; immunofluorescens; hjärnan; tumörmikromiljö;

    Sammanfattning : Glioblastoma (GBM) is the most common primary brain tumor in adults and represents one of the most aggressive tumor types. Despite treatment GBM remains incurable and when treated the tumor recurs more aggressive and treatment resistant than before. LÄS MER