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Principled Analysis of High-Dimensional Data: How to Identify Signals while under the Curse of Dimensionality

Description:

Modern data sets are increasingly vast, not only in the number of samples, but also in the number of measurements, or features, that they contain. This high-dimensionality poses a unique set of problems for data analysis due to a set of phenomena known as ``the curse of dimensionality.'' This thesis...

Keyword:

Data Visualization, Circular Linear Regression, Dimensionality Reduction, Curse of Dimensionality, and Quality Assessment

Subject:

Applied mathematics, Bioinformatics, and Computer science

Creator:

Johnson, Eric Mitchell

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_892588 and http://dissertations.umi.com/northwestern:15988
Mutational Processes Modeling and Early Cancer Diagnosis

Description:

Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...

Keyword:

Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning

Subject:

Bioinformatics and Computer science

Creator:

Zeng, Zexian

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14500 and etdadmin_upload_635668

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