Index Catalog // ScholarsArchive@OSU

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

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
Full Text:: Assessment Abstract approved: Stephen A. Ramsey Ph.D. candidate Qi Wei’s thesis consists of two projects

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

Classification strategies for unbalanced binary maps : finding Ponderosa pine in the Willamette Valley

Creator:: Riddell, Audrey P.
Abstract:: Forest species classifications are becoming increasingly automated as advances are made in machine learning. The algorithms used to identify tree species range from simple decision trees to intricate neural networks, and often excel in accurately delineating tree species. However, complex algorithms can have high input costs, including the cost of...
Resource Type:: Masters Thesis
Full Text:: : ______________________________________________________ Stephen A. Fitzgerald Bogdan M. Strimbu Forest species classifications are becoming

De novo Discovery of Novel Long Noncoding RNAs in the North American Beaver

Creator:: Kashyap, Amita
Abstract:: Long noncoding RNAs (lncRNAs) are RNA molecules that are at least 200 nucleotides long and do not encode proteins. lncRNAs have roles in gene regulation, chromatin epigenetics, and molecular scaffolding. In light of mounting evidence implicating species-specific noncoding RNAs and gene regulatory mechanisms in species adaptations, it is reasonable to...
Resource Type:: Honors College Thesis
Full Text:: American Beaver Amita Kashyap1, 4; Adelaide C Rhodes2, 4; and Stephen A Ramsey, PhD3, 4 11/29/2017 Amita

The Development and Application of a Systems Biology Approach to Mapping Monocyte Gene Regulatory Networks.

Creator:: Choudhury, Mudra
Abstract:: While monocytes are vital for host defense against pathogens, in cases of non-resolving inflammation, monocytes and their differentiated progeny can secrete tissue-damaging factors, present auto-antigens, and promote the inflammatory response. In this study, a systems biology approach was used to map human monocyte gene regulatory regions by integrating expression quantitative...
Resource Type:: Honors College Thesis
Full Text:: . Abstract approved: ______________________________________________________ Stephen A. Ramsey

The Development and Application of a Systems Biology Approach to Mapping Monocyte Gene Regulatory Networks

Creator:: Choudhury, Mudra
Abstract:: While monocytes are vital for host defense against pathogens, in cases of non-resolving inflammation, monocytes and their differentiated progeny can secrete tissue-damaging factors, present auto-antigens, and promote the inflammatory response. In this study, a systems biology approach was used to map human monocyte gene regulatory regions by integrating expression quantitative...
Resource Type:: Honors College Thesis
Full Text:: . Abstract approved: ______________________________________________________ Stephen A. Ramsey

Distribution of Live Biomass, Herbivory and Foliar Retention in Central Oregon Lodgepole Pine (Pinus contorta ssp. murrayana) Crowns

Creator:: Burke, Adam O.
Abstract:: Lodgepole pine (Pinus conorta) is a widely distributed forest type across western North America. Central Oregon lodgepole pine forests are ecologically unique when compared to other lodgepole pine ecosystems. Sierra lodgepole pine (Pinus contorta ssp. murrayana) is the dominant variety and often exists as the climax species on pumice soils,...
Resource Type:: Masters Thesis
Full Text:: : _______________________________________________________________________________ Stephen A. Fitzgerald Lodgepole pine (Pinus conorta) is a widely distributed forest type

Electron transport in coupled double quantum wells and wires

Creator:: Harff, Nathan E.
Resource Type:: Dissertation
Full Text:: Transport in Coupled Double Quantum Wells and Wires Abstract approved: Stephen M. Goodnick Jerry A

Dynamic pollution regulation with endogenous technological change

Creator:: Jaspin, Michael D
Abstract:: This thesis investigates the dynamic efficiency of emission standards and Pigouvian taxes in the regulation of pollution where research and development (R&D) and the technology level are endogenous. A key element of the analysis is a comparison of the efficiency between instances in which the regulator can and cannot commnit...
Resource Type:: Masters Thesis
Full Text:: : Dynamic Pollution Regulation with Endogenous Technological Change. Abstract approved: A. Stephen

ScholarsArchive@OSU

Analytical Methods for Improving Causal Inference

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

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

Classification strategies for unbalanced binary maps : finding Ponderosa pine in the Willamette Valley

De novo Discovery of Novel Long Noncoding RNAs in the North American Beaver

The Development and Application of a Systems Biology Approach to Mapping Monocyte Gene Regulatory Networks.

The Development and Application of a Systems Biology Approach to Mapping Monocyte Gene Regulatory Networks

Distribution of Live Biomass, Herbivory and Foliar Retention in Central Oregon Lodgepole Pine (Pinus contorta ssp. murrayana) Crowns

Electron transport in coupled double quantum wells and wires

Dynamic pollution regulation with endogenous technological change

Limit your search

Academic Affiliation

Advisor

Commencement Year

Committee Member

Creator

Date

Decade

Degree Field

Degree Level

Degree Name

Language

License

Non-Academic Affiliation

Peer Reviewed

Resource Type

Rights Statement

Subject

Search Constraints

Search Results

Limit your search