Sökning: "cell profiling"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden cell profiling.
1. Apoptosis induction in breast cancer cells after radiotherapy and potential radiosensitizers
Master-uppsats,Sammanfattning : Background. Today breast cancer is the foremost cancer death type amongst women around the world. At present some of the toughest challenges in the clinic is recurrent, radioresistant breast cancer, and metastatic breast cancer where low cure rates are observed after surgery and radiotherapy. LÄS MER
2. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikSammanfattning : 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. 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/ProteinvetenskapSammanfattning : 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
4. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms
Master-uppsats, KTH/KemiSammanfattning : 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
5. Intersecting Graph Representation Learning and Cell Profiling : A Novel Approach to Analyzing Complex Biomedical Data
Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskapSammanfattning : In recent biomedical research, graph representation learning and cell profiling techniques have emerged as transformative tools for analyzing high-dimensional biological data. The integration of these methods, as investigated in this study, has facilitated an enhanced understanding of complex biological systems, consequently improving drug discovery. LÄS MER