Northwestern University

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Variable Selection for High Dimensional Compositional Data with Application in Metagenomics

Description:

The advent of next-generation sequencing technologies has greatly promoted the devel- opment of metagenomics, and the analysis of compositional dataset has a wide range of application in this area. Because of the constraint that the sum of species relative abun- dance being 1, many traditional and classical statistical methods cannot...

Keyword:

stability selection, penalized regression, metagenomimcs, subgroup identification, and compositional data

Subject:

Statistics

Creator:

Wang, Pan

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_638478 and http://dissertations.umi.com/northwestern:14510