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Filtering by: Creator Hipkins, Valerie D. Resource Type Dissertation Rights Statement In Copyright - Non-Commercial Use Permitted

Investigating Transcriptional Control of Specialized Gene Expression in Plants

Creator:

Fraser, Valerie N.

Abstract:

Specialized or secondary metabolism is a collection of pathways and small molecules that, while beneficial to an organism, are not strictly necessary for survival. Plants use secondary metabolites to, among other things, attract pollinators, defend against biotic and abiotic stressors, and form symbioses. Natural products from plants have seen an...

Resource Type:

Dissertation

Full Text:

AN ABSTRACT OF THE DISSERTATION OF Valerie N
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

Full Text:

grateful to my good friends and laboratory colleagues Valerie Fraser, Sarah Alto, Shawn ONeil, and Kai Tao
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

Investigating Transcriptional Control of Specialized Gene Expression in Plants

Computational Approaches for Understanding Combinatorial Gene Regulation

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

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