Sökning: "untargeted"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet untargeted.

  1. 1. Prediction of multiple conformational states of membrane proteins

    Master-uppsats, Linköpings universitet/Bioinformatik

    Författare :Tobias Thorén; [2024]
    Nyckelord :Bioinformatics; Protein prediction; AlphaFold;

    Sammanfattning : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. LÄS MER

  3. 2. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Vivian Wang; Lidia Yalew; [2023-10-19]
    Nyckelord :Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

    Sammanfattning : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. LÄS MER

  4. 3. Impact of PFAS exposure on the fecal metabolome

    Kandidat-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Lisa Johansson; [2022]
    Nyckelord :Gut metabolites; LC-qTOF-MS; PFAS;

    Sammanfattning : The human gut microbiota plays a crucial role in human health and therefore imbalances in gut microbiota functioning can lead to the development of metabolic disorders. Short-chain fatty acids (SCFA), tricarboxylic acid (TCA) cycle metabolites, bile acids (BA) and other metabolites are the essential compounds for the metabolome. LÄS MER

  5. 4. A General Approach to Inaudible Adversarial Perturbations in a Black-box Setting

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan Sörell; [2021]
    Nyckelord :;

    Sammanfattning : Deep learning is currently being deployed in many speech recognition systems. While these systems can achieve state-of-the-art performance, they are known to be susceptible to adversarial perturbations. These are minor perturbations to the input data, crafted specifically to cause erroneous behavior from the system. LÄS MER

  7. 5. Profile-based comparison of user integrity and advertisement content when using different adblockers

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Alice Ekblad; Anna Höglund; [2021]
    Nyckelord :Adblocker; profile-based; user integrity;

    Sammanfattning : Advertisements are a common way to increase the revenue for websites. All users, however, are not interested in exposing themselves to advertisements and instead avoids it by installing an ad-blocker extension to their browser. LÄS MER