Sökning: "gene network"

Visar resultat 1 - 5 av 75 uppsatser innehållade orden gene network.

  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. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ansar Siddiqui; [2023]
    Nyckelord :;

    Sammanfattning : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. LÄS MER

  4. 3. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Liang Cheng; [2023]
    Nyckelord :;

    Sammanfattning : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. LÄS MER

  5. 4. 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

  7. 5. 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