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Topics in Microbiome Data Analysis: Normalization and Differential Abundance Test and Large-Scale Human Microbe-Disease Association Prediction

Description:

The advent of sequencing technologies has generated a large amount of biological and medical data. These data such as genetic sequencing data and lab experimental evidence data can help understand critical biomedical problems. This dissertation makes contribution in three different but related applications in biomedical research. In Chapter 2, we...

Keyword:

Normalization, Metagenomics, Graph neural network, Clustering, and Differential abundance test

Subject:

Biostatistics, Statistics, and Bioinformatics

Creator:

Ma, Yuanjing

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

01/21/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15057 and etdadmin_upload_736532
NORMALIZATION OF RNA DEGRADATION IN RNA-SEQ DATA

Description:

RNA-Sequencing (RNA-Seq) is a powerful high-throughput tool to profile transcriptional activities in cells. The observed read counts can be biased by various factors such that they do not accurately represent the true relative abundance of mRNA transcript abundance. Normalization is a critical step to ensure unbiased comparison of gene expression...

Keyword:

Normalization, Matrix factorization, RNA-Seq, and Degradation

Subject:

Statistics

Creator:

Bin Xiong

Owner:

Scholarly Digital Publishing

Date Uploaded:

10/08/2019

Date Modified:

10/08/2019

Date Created:

1/1/2018

Resource Type:

Dissertation

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Topics in Microbiome Data Analysis: Normalization and Differential Abundance Test and Large-Scale Human Microbe-Disease Association Prediction

NORMALIZATION OF RNA DEGRADATION IN RNA-SEQ DATA

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