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Prediction of CRISPR-Cas9 Cleavage Efficiency Through Markov Feature Engineering and Boosting-Based Transfer Learning

Description:

In the short amount of time that genetic manipulation has been possible through CRISPR technology, myriad applications have been developed. Results from one of the most promising applications of this technology, pooled screens, have shown that single guide RNAs (sgRNAs), RNA sequences used to target specific regions of the genome,...

Keyword:

sgRNA design, CRISPR efficiency, and Machine learning

Subject:

Biostatistics, Statistics, and Bioinformatics

Creator:

Zarate, Oscar Alberto

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15353 and etdadmin_upload_773909
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

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Prediction of CRISPR-Cas9 Cleavage Efficiency Through Markov Feature Engineering and Boosting-Based Transfer Learning

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