Essays about: "gene network"
Showing result 1 - 5 of 74 essays containing the words gene network.
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1. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikAbstract : 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. READ MORE
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2. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE
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3. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE
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4. Gene Biomarker Identification by Distinguishing Between Small-Cell and Non-Small Cell Lung Cancer Through a Module-Based Approach
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : 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. READ MORE
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5. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : 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. READ MORE
