Essays about: "single molecule data"
Showing result 1 - 5 of 21 essays containing the words single molecule data.
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1. Exploring the effects of pressure on the magnetic properties of quasi-low dimensional quantum magnets via thermodynamic measurements
University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenAbstract : Four model solid state compounds were used to experimentally investigate the effects of pressure on the interactions in one- and two-dimensional Heisenberg magnetic models. BaCuSi2O6, BaCu2V2O8, SrCuO2 and CuGeO3 were successfully synthesized via solid-state reactions and characterized via x-ray diffraction. READ MORE
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2. Evaluating and optimizing Transformer models for predicting chemical reactions
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. READ MORE
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3. Developing Automated Cell Segmentation Models Intended for MERFISH Analysis of the Cardiac Tissue by Deploying Supervised Machine Learning Algorithms
University essay from KTH/KemiAbstract : 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). READ MORE
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4. Study of Automated Step Detection Methods and Dwell Time Analysis of Single-Molecule Data : Case of Study: The Turnover of Single Fluorescent ATP on The Active Site of Myosin
University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Abstract : Single-molecule methods were developed with the objective to obtain kinetic information of biomolecular processes from a single biomolecule. This objective can be achieved by analyzing the binding events in recordings (“trajectories”) of single molecules (e.g., using fluorescence); the so-called dwell times. READ MORE
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5. Comparison of Support Vector Machines and Deep Learning For QSAR with Conformal Prediction
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : Quantitative Structure Activity Relationship (QSAR) is a very useful computa-tional method which has facilitated great progress in drug development [1]. Thismethod can be used to predict a molecule’s activity against a certain target justby comparing its structural characteristics (i.e. READ MORE