Sökning: "Gene networks"

Visar resultat 1 - 5 av 53 uppsatser innehållade orden Gene networks.

  1. 1. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Författare :Erik Everett Palm; [2023]
    Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER

  3. 2. Gene Biomarker Identification by Distinguishing Between Small-Cell and Non-Small Cell Lung Cancer Through a Module-Based Approach

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Noor Haval Jamal; [2023]
    Nyckelord :;

    Sammanfattning : Lung cancer is the leading cause of cancer-related deaths worldwide and is divided into two broad histological types, small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Network module-based approach is applied to lung cancer subtypes in order to analyze and compare the results with previous literature and thus discover new genetic biomarkers and/or confirm previously discovered ones. LÄS MER

  4. 3. Quantification of DNA Nanoballs Using Image Processing Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Sara Lindberg; [2023]
    Nyckelord :image analysis; fluorescence microscopy; quantification; DNA; rolling circle amplification; machine learning; deep learning; transfer learning; neural networks;

    Sammanfattning : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. LÄS MER

  5. 4. Inferring Gene regulatory networks using Graph Neural Networks

    Master-uppsats, KTH/Genteknologi

    Författare :Sohta Makino; [2023]
    Nyckelord :Graph Attention Network; Gene regulatory Network; Transcription; Data Science; Machine learning; Genreglering; transkription; dataanalys; Inferens; maskininlärning;

    Sammanfattning : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. LÄS MER

  7. 5. Design and production of adeno-associated virus vectors for imaging mitochondrial networks in the brain

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Elnaz Samadian Zad; [2023]
    Nyckelord :adeno-associated virus; mitochondria; mitochondrial networks; imaging; fluorescent protein; synapsin promoter; human embryonic kidney cells; organoids;

    Sammanfattning : Mitochondria are dynamic organelles that function in a complex interconnected network within the cell. Neurons are sensitive and highly energy demanding cells in the brain which require a functioning mitochondrial network that is able to provide ATP and modulate calcium. LÄS MER