Sökning: "Beräkningsbiologi Och Biologisk Fysik"

Visar resultat 16 - 20 av 36 avhandlingar innehållade orden Beräkningsbiologi Och Biologisk Fysik.

  1. 16. Thermodynamic Studies of Macromolecular Models

    Författare :Ola Sommelius; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; classical mechanics; Mathematical and general theoretical physics; termodynamik; klassisk mekanik; Matematisk och allmän teoretisk fysik; statistisk fysik; gravitation; kvantmekanik; relativitet; quantum mechanics; relativity; statistical physics; thermodynamics; Fysicumarkivet A:1997:Sommelius;

    Sammanfattning : The thermodynamic properties of single chain polyelectrolyte and protein models are studied using Monte Carlo simulations and (for the polyelectrolyte models) variational calculations and high- and low-temperature expansions. A variational method is used for minimizing Lennard-Jones energies and for estimating end-to-end distances for a rigid Coulomb chain at finite temperatures. LÄS MER

  2. 17. Statistical inference with deep latent variable models

    Författare :Najmeh Abiri; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Deep Learning; Generative Models; Variational Inference; Missing data; Imputation; Fysicumarkivet A:2019:Abiri;

    Sammanfattning : Finding a suitable way to represent information in a dataset is one of the fundamental problems in Artificial Intelligence. With limited labeled information, unsupervised learning algorithms help to discover useful representations. LÄS MER

  3. 18. Bio-inspired crossover and a model of neuronal reprogramming

    Författare :Adriaan Merlevede; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; evolutionary comuptation; crossover; genetic recombination; permutation; flexible genome; direct neuronal reprogramming;

    Sammanfattning : Bio-inspired crossover:Natural genomes are affected by various kinds of mutations, manifesting as variations in the genome. This includes modifications to individual base pairs (single nucleotide polymorphism, SNP), but also short insertions and deletions (indels), and variations in the position (translocations) or multiplicity (copy number variations) of genetic sequences. LÄS MER

  4. 19. Resource Allocation with Potts Mean Field Neural Network Techniques

    Författare :Martin Lagerholm; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Potts; combinatorial optimization; ANN; mean field; approximation; routing; unicast; multicast; airline crew; scheduling; ECG; NP-complete.; Matematik; Mathematics; algorithm; Systems engineering; computer technology; Data- och systemvetenskap; Fysicumarkivet A:1998:Lagerholm;

    Sammanfattning : Potts mean field artificial neural network techniques are developed and applied to airline crew scheduling problems and routing problems. A propagator formalism in terms of Potts neurons is developed to handle global topological issues. An integrated method for identifying and classifying ECG complexes is presented. LÄS MER

  5. 20. Probalistic Methods In Genomic Data Analysis

    Författare :Thomas Breslin; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; pathway profiling; Bioinformatics; medical informatics; biomathematics biometrics; Bioinformatik; medicinsk informatik; differential gene expression; probabilistic methods; Natural science; Naturvetenskap; biomatematik; annotation analysis; microarray; Fysicumarkivet A:2004:Breslin;

    Sammanfattning : In this thesis, three aspects of gene expression data analysis are discussed: Differential gene expression is addressed by a probabilistic method. Gene annotation enrichment analysis is discussed in the context of multiple hypothesis testing and the choice of null hypothesis. LÄS MER