Institutional Scholarship

Browsing by Author "Mathieson, Sara"

Browsing by Author "Mathieson, Sara"

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  • Wiggers, Alton (2021)
    In this thesis we look at the purpose, process, and application of DNA reconstruction using a known family tree, known as a pedigree. First, we see the applications of having a pedigree with DNA sequences for all individuals ...
  • Griesman, Kendra (2020)
    Population genetics focuses on understanding the evolutionary history of specific populations to gain insight into evolutionary events leading to the variation observed in nature. Increasing our understanding of evolution ...
  • Wang, Zhanpeng (2020)
    As the population genetic database such as 1000 Genomes Dataset (Consortium et al. 2015) grows in size every day, it becomes more and more challenging to understand the large flow of the genetic information. Recent works ...
  • Wang, Jiaping (2020)
    For the past years, researches in population genetics, a subfield of biology studying the variation of genes in a population with respect to space and time, rely heavily on simulated data. That is to say, analysis of the ...
  • Spano, Lizzie (2021)
    In this paper we look at ways to reconstruct DNA in a pedigree. We start by discussing what a pedigree is, how it can be used to learn more about a population, and some challenges of reconstructing its genetic information. ...
  • Xu, Yongxin (2021)
    Population genetics is a study of genetic variations in populations and evolutionary forces that explain these variations. Relevant studies are usually based on simulated genomic data in matrix form. Many existing methods, ...
  • Thiel, Pablo (2020)
    Many problems in population genetics are well suited to supervised machine learning (ML) methods, which can leverage characteristics like high input dimensionality to result in considerable performance gains over traditional ...
  • Zhang, Mingxuan (Kira) (2021)
    Convolutional Neural Networks (CNNs) is one of the most efficient approaches to analyze population genetics data and draw conclusions on the species' evolution. Population genetics is one approach people take to learn about ...
  • Contreras-Orendain, Luis (2021)
    For widely studied species such as humans, fruit flies, and mice, there are many sequenced genomes, but for novel species, only afew or a singular processed genome is available. Being able to study novel species is important ...
  • Gerhard, Russell (2020)
    I review commonly used methods for approximating model parameters within the setting of population genetics and compare approximate Bayesian computation to a convolutional neural network. Results from population genetics ...
  • Wang, Yuchen (2021)
    With the great advantage of DNA sequencing at the end of the 20th century, researches are provided with larger and far more complicated genetic datasets to study. They tried to infer human evolutionary facts like natural ...

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