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Filtering by: Creator Welter, Stephen C. Remove constraint Creator: Welter, Stephen C. Degree Field Computer Science Remove constraint Degree Field: Computer Science Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome Abstract approved: Stephen

  • Variant Annotation

    Creator:
    He, Jun
    Abstract:
    With the development of technologies in genome sequencing and variant detection, a huge number of variants are detected. To further analyze the variants, it requires an efficient tool to annotate the functional effect of variants. This project managed to develop an efficient program to annotate the functional effect of variants...
    Resource Type:
    Capstone Project
    Full Text:
    approved: Stephen Ramsey With the development of technologies in genome sequencing and variant detection

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    for Cancer Noncoding Mutation Recurrence Abstract approved: Stephen A. Ramsey An important impact

  • A C source code browsing system

    Creator:
    Steinkamp, James M.
    Abstract:
    A project is described wherein a source code browser was implemented based upon tasks performed by software engineers looking for source code modules with only UNIX utilities. These tasks were discovered by observing the actions of software engineers looking for code modules in a library, The success of the implementation...
    Resource Type:
    Capstone Project
    Full Text:
    ) A C Source Code Browsing System Produced for an Oregon

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    : Analytical Methods for Improving Causal Inference Abstract approved: Stephen A. Ramsey Causal inference is

  • PC++ : an extension of C++ for parallel programming

    Creator:
    Bae, Myungmun
    Abstract:
    Understanding of techniques that can be used to develop software for various parallel machines has not fully matched the dramatic progress in hardware in recent years. Most parallel programming techniques have been closely tied to specific hardware. Different machines have different primitives and architectures. Programming and porting an application with...
    Resource Type:
    Capstone Project
    Full Text:
    ) PC++: An Extension of c++ for Parallel Programming

  • Transformers for representing microbiome data: an empirical evaluation

    Creator:
    Varma, Rohan
    Abstract:
    As the link between human microbiomes and health has become more established, the interest in applying statistical approaches to microbiome data to understand the mechanisms behind these links has grown. However, microbiome data is often of unmanageable size, and consequently, producing quality lower dimensional representations of samples is a significant...
    Resource Type:
    Honors College Thesis
    Full Text:
    , representing Microbiology Stephen Ramsey, Committee Member, representing Electrical Engineering and Computer

  • Trip Poll: Plan before you ride

    Creator:
    Baisetti, Rama Krishna
    Abstract:
    People like going on trips with friends and tend to plan their trips well in advance to have the best possible experience of a destination and get the most out of the places they visit and/or the activities they plan to partake in. Right now, the Internet provides a wealth...
    Resource Type:
    Capstone Project
    Full Text:
    do we need to stay if planning for long trips? c. What are some good places to eat around? d. How

  • Position-Dependent Codon Usage Bias in the Human Transcriptome

    Creator:
    Subramanian, Kaavya
    Abstract:
    All life depends on the reliable translation of RNA to protein according to complex interactions between translation machinery and RNA sequence features. While ribosomal occupancy and codon frequencies vary across coding regions, well-established metrics for computing coding potential of RNA do not capture such positional dependence. Here, we investigate position-dependent...
    Resource Type:
    Honors College Thesis
    Full Text:
    _____________________________________________________________________ Stephen Ramsey, Committee Member, representing Electrical Engineering and Computer Science

  • Exploratory Study to Uncover Student Mental Models of Singly Linked Lists in the C Programming Language

    Creator:
    Almadhoun, Eman
    Abstract:
    In computer science, learning abstract fundamental programming concepts requiring students to understand memory management can be very difficult and lead to misunderstandings that carry on into advanced topics. This is especially true in data structures with abstract data types. Understanding how novice students think and reason about data structures is...
    Resource Type:
    Dissertation
    Full Text:
    : Exploratory Study to Uncover Student Mental Models of Singly Linked Lists in the C Programming Language