Essays about: "Error modeling"

Showing result 16 - 20 of 198 essays containing the words Error modeling.

  1. 16. Modelling Large Protein Complexes

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Ho Yeung Chim; [2023]
    Keywords : Protein Modeling; Monte Carlo Tree Search; Protein Complex;

    Abstract : AlphaFold [Jumper et al., 2021, Evans et al., 2022] is a deep learning-based method that can accurately predict the structure of single- and multiple-chain proteins. However, its accuracy decreases with an increasing number of chains, and GPU memory limits the size of protein complexes that can be predicted. READ MORE

  3. 17. Integration of Deep Brain Stimulation Modeling Tools

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Lina Wilhelmina Sundqvist; [2023]
    Keywords : ;

    Abstract : Deep brain stimulation is a treatment in which neural targets are stimulated by electrical pulses delivered through implanted leads to alleviate symptoms in certain neurological- and psychiatric disorders. To achieve a beneficial clinical outcome, adjusting the stimulation parameters is a crucial step, which, at present, is a tedious and difficult trial-and-error procedure. READ MORE

  4. 18. BAYESIAN HIERARCHICAL LINEAR MODELS FOR DIFFERENTIAL PROTEIN EXPRESSION ANALYSIS

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Siri Voghera; [2023]
    Keywords : Bayesian hierarchical modeling; differential protein expression analysis; proteomics;

    Abstract : It is evident that the study of proteins is crucial for a deeper understanding of how drug treatments affect the body. However, differential protein expression analysis, which can be described as the method of finding which proteins are affected by a treatment, faces some major challenges. READ MORE

  5. 19. Estimating the load weight of freight trains using machine learning

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

    Author : Erik Kongpachith; [2023]
    Keywords : Railway freight Transport; Rail Vehicle Weighing; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Machine Learning; Regression; Polynomial Regression; Regression Trees; Random Forest Regression; Support Vector Regression; Järnvägsgods transport; Vägning av järnvägsfordon; Y25 Bogie; Sdggmrss T3000eD; GENSYS; Maskininlärning; Regression; Polynom Regression; Regressionsträd; Random Forest Regression; Support Vector Regression;

    Abstract : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. READ MORE

  6. 20. An Interactive MIDD Framework for Evaluation and Comparison of PBPK Model Performance

    University essay from Uppsala universitet/Institutionen för farmaci

    Author : Dylan Garamani; [2022]
    Keywords : MIDD; PBPK; QSP; PK; GUI;

    Abstract : Modeling and simulation are becoming indispensable elements in drug development. Mechanistic modeling is susceptible to impacting several drug development and regulatory decisions through extrapolations beyond clinically researched scenarios by using its capacity to incorporate diverse data to provide a detailed and comprehensive understanding of a physiological and biological system. READ MORE