Search for dissertations about: "Spatial Transcriptomics"
Showing result 1 - 5 of 40 swedish dissertations containing the words Spatial Transcriptomics.
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1. Computational Methods for Image-Based Spatial Transcriptomics
Abstract : Why does cancer develop, spread, grow, and lead to mortality? To answer these questions, one must study the fundamental building blocks of all living organisms — cells. Like a well-calibrated manufacturing unit, cells follow precise instructions by gene expression to initiate the synthesis of proteins, the workforces that drive all living biochemical processes. READ MORE
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2. The Spatial Context – through the lens of method development
Abstract : In the present moment of time, we find ourselves in a period where the advancement of genomic tools is progressing at a fast pace. Of particular interest for this thesis is the study of gene activity. READ MORE
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3. Spatial transcriptome and epigenome analysis with focus on prostate cancer
Abstract : Each cancer is unique, and therefore the use of general treatments are often suboptimal. If we can understand the mechanisms of cancer development, we might be able to develop effective treatments tailored to each patient. Our bodies are complex three-dimensional structures and how things are organized correlate with proper functioning. READ MORE
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4. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape
Abstract : Transcriptomics techniques, whether in the form of bulk, single cell/nuclei, or spatial methods have fueled a substantial expansion of our knowledge about the biological systems within and around us. In addition, the rate of innovation has accelerated over the last decade, resulting in a multitude of technological advances and new methods for generation of transcriptomics data. READ MORE
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5. Exploring Biological Systems using Spatial Transcriptomic Technologies
Abstract : The transcriptome and the cells’ spatial organization are important determinants for the functions of biological systems, such as a tumor, brain, or skin tissue. Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for profiling the transcriptome of individual cells. READ MORE