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Showing result 1 - 5 of 171 essays matching the above criteria.

  1. 1. Geometry of high dimensional Gaussian data

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Olof Samuel Mossberg; [2024]
    Keywords : HDLSS; high dimensional data; stochastic boundedness; asymptotic orthogonality; geometry; multivariate normal distribution; HDLSS; högdimensionell data; stokastisk begränsning; asymptotisk ortogonalitet; geometri; multivariat normalfördelning;

    Abstract : Collected data may simultaneously be of low sample size and high dimension. Such data exhibit some geometric regularities consisting of a single observation being a rotation on a sphere, and a pair of observations being orthogonal. This thesis investigates these geometric properties in some detail. READ MORE

  3. 2. Simulated molecular adder circuits on a surface of DNA : Studying the scalability of surface chemical reaction network digital logic circuits

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jakob Arvidsson; [2023]
    Keywords : Surface chemical reaction networks; Molecular computing; DNA computing; Circuit simulation; Adders; Ytbundna kemiska reaktionsnätverk; Molekylär beräkning; DNA-beräkning; Kretssimulering; Additionskretsar;

    Abstract : The behavior of the Deoxyribonucleic Acid (DNA) molecule can be exploited to perform useful computation. It can also be ”programmed” using the language of Chemical Reaction Networks (CRNs). One specialized CRN construct is the Surface Chemical Reaction Network (SCRN). READ MORE

  4. 3. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Ansar Siddiqui; [2023]
    Keywords : ;

    Abstract : 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

  5. 4. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    University essay from KTH/Tillämpad fysik

    Author : Samuel Eriksson Lidbrink; [2023]
    Keywords : AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Abstract : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. READ MORE

  6. 5. Itô Diffusions on Level Sets

    University essay from Uppsala universitet/Analys och partiella differentialekvationer; Uppsala universitet/Statistik, AI och data science

    Author : Coën Olofsson; [2023]
    Keywords : Itô diffusions; level sets; stochastic differential geometry; numerical schemes;

    Abstract : Itô diffusions that move on level sets of functions in Rn, which we have called level processes, are an overlooked variant of the classical Itô processes. These processes find themselves nestled between the study of regular Itô diffusions in Rn and diffusions which are bound to smooth manifolds. READ MORE