Sökning: "Omics"

Visar resultat 1 - 5 av 16 uppsatser innehållade ordet Omics.

  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. 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. PAMPaR: Parallel Analysis of miRNAs, Proteins and RNAs. Dynamic Profiles of miRNAs, mRNAs and Specific Proteins in Mouse Embryonic Stem Cells Differentiating into Neural Precursors

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Amelie Carlström; [2023]
    Nyckelord :PAMPaR; SPARC; Proximity extension assay; Neuronal differentiation; Mouse embryonic stem cells; PAMPaR; SPARC; Proximity extension assay; Neuronal differentiering; embryonala musstamceller;

    Sammanfattning : MikroRNA-molekyler (miRNA) är viktiga icke-kodande RNA-molekyler för post-transkriptionell reglering av proteinkodande gener. De har även effekter på många cellulära processer såsom differentiering. De biosyntetiska reaktioner som skapar miRNA involverar proteiner som själva regleras av miRNA. LÄS MER

  5. 4. Evaluating targeted combination therapies in EGFR wild-type non-small-cell lung cancer using mass spectrometry-based proteomics

    Master-uppsats, Lunds universitet/Institutionen för immunteknologi

    Författare :Johan Thorsson; [2023]
    Nyckelord :Biology and Life Sciences;

    Sammanfattning : Survival for non-small cell lung cancer (NSCLC) patients has been significantly improved by epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in patients with EGFR mutations. However, certain subpopulations of NSCLC patients with EGFR wild-type (wt) status have been shown to also respond to EGFR-TKIs. LÄS MER

  7. 5. Influence of Preprocessing Steps for Molecular Data on Deep Neural Network Performance

    Master-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Tajouj Malla; [2023]
    Nyckelord :;

    Sammanfattning : The massive accumulation of omics data requires effective computational tools to analyze and interpret such data. Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI), has shed light on these challengings and achieved great success in bioinformatics. LÄS MER