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Filtering by: Creator Maitland, James Keith Rights Statement In Copyright - Non-Commercial Use Permitted

Computational Approaches for Understanding Combinatorial Gene Regulation

Creator:

Ansariola, Mitra

Abstract:

Gene regulation is a complex mechanism that controls the spatial and temporal expression of genes in a living cell. My dissertation studies focus on two problems. First, tissue-specific gene expression prediction from DNA sequence and chromatin state, and second, the accurate discovery of small over-represented regulatory circuits in gene regulatory...

Resource Type:

Dissertation
Restoring Ponderosa Pine: Understanding Individual Tree Defenses, Disturbance Responses, and Resilience

Creator:

Johnson, Christal

Abstract:

The aim of this research was to provide forest managers and researchers with a better understanding of individual tree defenses and tree responses to disturbances, within a Collaborative Forest Landscape Restoration Program area. Forest restoration often aims to increase stand-level resistance to uncharacteristic changes, and stand-level resistance begins with tree-level...

Resource Type:

Dissertation

Full Text:

, S., Kay, G., Keith, D.A., MacGregor, C., Russell-Smith, J., Salt, D., Watson James, J.E.M
Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

Creator:

Wei, Qi

Abstract:

Ph.D. candidate Qi Wei's thesis consists of two projects: Chemotherapy Project: a study based on the research paper "Predicting chemotherapy response of various cancer types using a variational auto-encoder approach" submitted to the bioRxiv preprint archive and accepted by the BMC bioinformatics; and Wound Monitor Project: implementing and assessing analytics...

Resource Type:

Dissertation

ScholarsArchive@OSU

Computational Approaches for Understanding Combinatorial Gene Regulation

Restoring Ponderosa Pine: Understanding Individual Tree Defenses, Disturbance Responses, and Resilience

Machine Learning for Precision Medicine: Application to Cancer Chemotherapy Response Prediction and Wound Healing Status Assessment

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