Search for dissertations about: "clustering techniques in Gene expression analysis"
Showing result 1 - 5 of 11 swedish dissertations containing the words clustering techniques in Gene expression analysis.
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1. Exploring genetic heterogeneity in cancer using high-throughput DNA and RNA sequencing
Abstract : High-throughput sequencing (HTS) technology has revolutionised the biomedical sciences, where it is used to analyse the genetic makeup and gene expression patterns of both primary patient tissue samples and models cultivated in vitro. This makes it especially useful for research on cancer, a disease that is characterised by its deadliness and genetic heterogeneity. READ MORE
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2. 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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3. Computational approaches for in-depth analysis of cDNA sequence tags
Abstract : Major recent improvements in biotechnology have led to an accelerated production of DNA sequences. The completion of the human genome sequence, along with the genomes of more than two hundred other species, has marked the arrival of the genome era. The ultimate goal is to understand the structure and function of genomes and their genes. READ MORE
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4. Image and Data Analysis for Spatially Resolved Transcriptomics : Decrypting fine-scale spatial heterogeneity of tissue's molecular architecture
Abstract : Our understanding of the biological complexity in multicellular organisms has progressed at tremendous pace in the last century and even more in the last decades with the advent of sequencing technologies that make it possible to interrogate the genome and transcriptome of individual cells. It is now possible to even spatially profile the transcriptomic landscape of tissue architectures to study the molecular organization of tissue heterogeneity at subcellular resolution. READ MORE
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5. Global regulation of gene expression in stem cells and regeneration
Abstract : Rapid developments in genomics and transcriptomics fields have made it possible to ask new questions as well as solve various old problems in biology that were not achievable previously. Novel techniques such as RNA sequencing and Hi-C became available at the time I started my PhD. READ MORE