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

• DOI: 10.1128/spectrum.05059-22
• Publication Date: 2023-04-11T14:00:34Z
• Authors: Won Gu; Hyunwook Koh; Hyojung Jang; Byungho Lee; Byungkon Kang
• Keywords: prediction modeling; microbiome data analysis; Microbiota; Methods and Protocols; Cloud Computing; Microbiology; association analysis; QR1-502; 3. Good health; survival analysis; Gastrointestinal Microbiome; Diabetes Mellitus, Type 1; web cloud platform; Humans

Investigators have studied the treatment effects on human health or disease, microbiome, and roles of microbiome disease. Especially, in a clinical trial, investigators commonly trace disease status over lengthy period to survey sequential progression for different groups (e.g., versus placebo, new old treatment). Hence, responses are often available form survival (i.e., time-to-event) stratified by groups. While recent web cloud platforms enabled user-friendly data processing analytics, there is currently no platform analyze with responses. Therefore, we introduce here an integrative platform, called MiSurv, comprehensive analysis