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Visar resultat 1 - 5 av 26 uppsatser som matchar ovanstående sökkriterier.

  1. 1. EVALUATING TRANSCRIPTOME ASSEMBLY POTENTIAL BY DIFFERENT DE NOVO SEQUENCE ASSEMBLER TYPES

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Luan Gardenalli; [2023]
    Nyckelord :;

    Sammanfattning : With the rise of NGS technologies, the transcriptomes of non-model organisms can be reconstructed even with the absence of a reference genome, using de novo assembly tools. There is a wide range of de novo assembly tools frequently being developed, however, there is a still a knowledge gap about the different effects and efficiency of different de novo assembly software types for RNA-seq assembly. LÄS MER

  3. 2. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms

    Master-uppsats, KTH/Kemi

    Författare :Julia Rune; [2023]
    Nyckelord :Cell Segmentation; Cellpose; Supervised Machine Learning; MERFISH; Heart Failure; Cellsegmentering; Cellpose; Övervakad Maskininlärning; MERFISH; Hjärtsvikt;

    Sammanfattning : Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridization (MERFISH). LÄS MER

  4. 3. Capturing genes with high impact based on reconstruction errors produced by variational autoencoders

    Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Utz Lovis Rieger; [2023]
    Nyckelord :;

    Sammanfattning : In this work we present a novel method to extract potential hub genes, transcription factors and regions with densely interconnected protein-protein-interaction networks from RNAseq data. To achieve this we deploy variational autoencoders, a generative machine learning framework, and extract the gene-wise reconstruction errors. LÄS MER

  5. 4. Systems biology of deregulated splicing in cancer. A pan-cancer analysis of dysfunctional splicing machinery and alternative splicing events.

    H-uppsats,

    Författare :Leticia Castillon; [2021-08-06]
    Nyckelord :multi-omics; splicing; alternative splicing; deep learning; cancer; transcriptome;

    Sammanfattning : The deregulation or disruption of the splicing process has been shown to play a role in the onset, development, and even response to treatment of some malignancies. Partly due to our incomplete understanding of the mechanism and regulation behind splicing and alternative splicing, the importance of aberrant splicing in oncogenesis is not yet understood. LÄS MER

  7. 5. Detection of aberrant events in RNA for clinical diagnostics

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Mei Wu; [2021]
    Nyckelord :rare; disease; clinical; bioinformatics; pipeline; analysis; variants; IDS; OPA3; wgs; transcriptome; rna; diagnosis;

    Sammanfattning : Rare diseases are estimated to affect 3.75% of the global population, which roughly translates to 300 million affected individuals. LÄS MER