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On Compositionally Aware and Naïve Approaches to Normalization of 16S Microbiome Data
Title
On Compositionally Aware and Naïve Approaches to Normalization of 16S Microbiome Data
Author
Yerke, Aaron
Date Created
2022
Subjects--Topical
Bioinformatics
Description
Compositional data refers to any data that represents parts of a whole, and DNA sequencing data is compositional in nature. This is due to the constraint on our current sequencing technologies that allow us to record a sample of the sequences rath...
Opioid Misuse to Kratom Use: Examining a Transition Using the National Survey on Drug Use and Health
Title
Opioid Misuse to Kratom Use: Examining a Transition Using the National Survey on Drug Use and Health
Author
Munoz, Gillian
Date Created
2023
Subjects--Topical
Criminology
Description
Despite kratom’s growing popularity in the United States and claims of its link to opioid use, research has yet to fully delineate the factors that lead to its use. Recent research has primarily focused on kratom user-profiles and prevalence in th...
PREDICTING CREDIT DEFAULT RISK VIA STATISTICAL MODEL AND MACHINE LEARNING ALGORITHMS
Title
PREDICTING CREDIT DEFAULT RISK VIA STATISTICAL MODEL AND MACHINE LEARNING ALGORITHMS
Author
Choubey, Anand
Date Created
2018
Subjects--Topical
Economics
Description
Financial institutions need to measure risks within their credit portfolios (homeloans, credit card, auto loans, etc.) for regulatory requirements and for internal riskmanagement. To meet these requirements financial institutions increasingly rely...
Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Title
Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Author
Qiu, Bo
Date Created
2021
Subjects--Topical
Civil engineering, Transportation, Statistics
Description
Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Currently, the increasing availability of vehicle probe data has made the real-time travel time prediction a reality. The ...