Essays about: "expression data"
Showing result 6 - 10 of 446 essays containing the words expression data.
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6. QUEER PARENTHOOD ACROSS TEMPORAL AND SOCIAL LINES; An anthropological study on queer individuals experiences of parenthood in Swedish society
University essay from Göteborgs universitet/Institutionen för globala studierAbstract : This study aims to examine the everyday experience of queer parenthood, relating to aspects of gender and sexuality, family relations, and social norms in Swedish society. The study reveals that being a queer parent in contemporary Swedish society means being in an ambivalent position where factors of time and space, as well as gender identity and expression proves to be a leading force in how the parents practice parenthood and whether the political aspect of queerness comes to be consciously or unconsciously expressed within parenthood. READ MORE
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7. Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational algorithm known as ScRegClust to dissect single-cell RNA-sequencing (scRNA-seq) data from brain tumors. READ MORE
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8. Space Utilization in Road Transportation: A Case Study of Truck Deliveries
University essay from Göteborgs universitet/Graduate SchoolAbstract : Aim: To understand why big logistics companies do not focus their resources on improving space utilization and decreasing the phenomenon of empty running. Moreover, this study aims to present the potential economic and environmental benefits of reduced excess air in packaging and its effect on truck deliveries. READ MORE
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9. 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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10. 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
