MiSurv: an Integrative Web Cloud Platform for User-Friendly Microbiome Data Analysis with Survival Responses-Reference-Cited by-同舟云学术

MiSurv: an Integrative Web Cloud Platform for User-Friendly Microbiome Data Analysis with Survival Responses

Published:2023-06-15 Issue:3 Volume:11 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Gu Won¹,Koh Hyunwook¹^ORCID,Jang Hyojung¹,Lee Byungho¹,Kang Byungkon²

Affiliation:

1. Department of Applied Mathematics and Statistics, The State University of New York, Korea, Incheon, South Korea

2. Department of Computer Science, The State University of New York, Korea, Incheon, South Korea

Abstract

MiSurv consists of a data processing module and its following four data analytic modules: (i) Module 1: Comparative survival analysis between treatment groups, (ii) Module 2: Comparative analysis in microbial composition between treatment groups, (iii) Module 3: Association testing between microbial composition and survival responses, (iv) Module 4: Prediction modeling using microbial taxa on survival responses. We demonstrate its use through an example trial on the effects of antibiotic use on the survival rate against type 1 diabetes (T1D) onset and gut microbiome composition, respectively, and the effects of the gut microbiome on the survival rate against T1D onset.

Funder

National Research Foundation of Korea

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.05059-22

Reference65 articles.

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3. Influence of diet on the gut microbiome and implications for human health

4. Antibiotic-induced acceleration of type 1 diabetes alters maturation of innate intestinal immunity

5. Impact of commonly used drugs on the composition and metabolic function of the gut microbiota

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