Search for dissertations about: "spatial pattern"

Showing result 1 - 5 of 304 swedish dissertations containing the words spatial pattern.

  1. 1. Computational Methods for Image-Based Spatial Transcriptomics

    Author : Axel Andersson; Carolina Wählby; Anna Klemm; Filip Malmberg; Karl Åström; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Spatial omics; Spatial transcriptomics; Spatial biology; In Situ Sequencing; Visualization; Spatial statistics; Fluorescence microscopy; Computerized Image Processing; Datoriserad bildbehandling;

    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

  2. 2. Sources of dioxins and other POPs to the marine environment : Identification and apportionment using pattern analysis and receptor modeling

    Author : Kristina Sundqvist; Karin Wiberg; Mats Tysklind; Paul Geladi; Miriam Diamond; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; air-water gas exchange; chiral; congener pattern; enantiomer; enantiomeric fraction; fugacity; HCH; hexachlorocyclohexane; homologue profile; indicator congener; isomer pattern; pattern analysis; PCA; PCB; PCDD F; PMF; polychlorinated dibenzofuran; polychlorinated dibenzo-p-dioxin; polychlorinated biphenyl; positive matrix factorization; principal component analysis; receptor modeling; source apportioning; source; source tracing; Environmental chemistry; Miljökemi; Persistent organic compounds; Persistenta organiska föreningar;

    Abstract : In the studies underlying this thesis, various source tracing techniques were applied to environmental samples from the Baltic region. Comprehensive sampling and analysis of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) in surface sediments in Swedish coastal and offshore areas resulted in a unique data set for this region. READ MORE

  3. 3. Patterns of co-presence : Spatial configuration and social segregation

    Author : Ann Legeby; Lars Marcus; Laura Vaughan; Daniel Koch; Julienne Hanson; KTH; []
    Keywords : HUMANIORA; HUMANITIES; co-presence; spatial configuration; public space; urban segregation; urban design; public life; spatial affordance;

    Abstract : This thesis notes that there is a lack of systematic research investigating segregation patterns based on how public space is used and frequented by citizens. In order for understanding of urban segregation to reach beyond residential segregation, the extent to which public space facilitates co-presence between social groups is a key issue. READ MORE

  4. 4. Surface patterns, spatiality and pattern relations in textile design

    Author : Tonje Kristensen Johnstone; Högskolan i Borås; []
    Keywords : HUMANIORA; HUMANITIES; Surface patterns; textile design; spatiality; spatial definers; design variables; pattern relations; conceptual spatial determinations; Textiles and Fashion Design ; Textil och mode konstnärlig ;

    Abstract : This licentiate thesis focuses on surface patterns, spatiality, and pattern relations in textile design, and aims to explore surface patterns as spatial definers and what they mean in the context of surface patterns. A secondary focus relates to applying conceptual spatial determinations as alternative design variables in design processes, and exploring how these could be used to define and analyse pattern relations. READ MORE

  5. 5. Computational methods for analysis of spatial transcriptomics data : An exploration of the spatial gene expression landscape

    Author : Alma Andersson; Joakim Lundeberg; Omer Bayraktar; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; spatial transcriptomics; machine learning; data analysis; RNA-seq; probabilistic; statistical; models; Biotechnology; Bioteknologi;

    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