Approaches to multiple rare variants analysis in sequencing association studies

Ph.D

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Bibliographic Details
Main Author: SERGII ZAKHAROV
Other Authors: SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/113285
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1132852024-10-25T05:13:28Z Approaches to multiple rare variants analysis in sequencing association studies SERGII ZAKHAROV SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH LIU JIANJUN TEO YIK YING association study, rare variants, statistical test Ph.D DOCTOR OF PHILOSOPHY 2014-11-30T18:00:42Z 2014-11-30T18:00:42Z 2014-07-08 Thesis SERGII ZAKHAROV (2014-07-08). Approaches to multiple rare variants analysis in sequencing association studies. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/113285 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic association study, rare variants, statistical test
spellingShingle association study, rare variants, statistical test
SERGII ZAKHAROV
Approaches to multiple rare variants analysis in sequencing association studies
description Ph.D
author2 SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
author_facet SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
SERGII ZAKHAROV
format Theses and Dissertations
author SERGII ZAKHAROV
author_sort SERGII ZAKHAROV
title Approaches to multiple rare variants analysis in sequencing association studies
title_short Approaches to multiple rare variants analysis in sequencing association studies
title_full Approaches to multiple rare variants analysis in sequencing association studies
title_fullStr Approaches to multiple rare variants analysis in sequencing association studies
title_full_unstemmed Approaches to multiple rare variants analysis in sequencing association studies
title_sort approaches to multiple rare variants analysis in sequencing association studies
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/113285
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