Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

DoSurvive

General information

URL: http://dosurvive.lab.nycu.edu.tw
Full name:
Description: DoSurvive is a database and tool for survival analysis of data for 33 cancer types and a number of covariates including the expression levels of proteins, mRNA, miRNA, lncRNA and methylation levels of CpG sites. Additionally, DoSurvive provides "Explore Combined Effect" whereby the can perform real-time survival analysis for a combination of genes, including mRNAs, miRNAs,and lncRNAs.
Year founded: 2023
Last update: 2023-07-04
Version: v1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
Data object:
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Keywords:

Contact information

University/Institution: National Yang Ming Chiao Tung University
Address:
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Ting-Wen Chen
Contact email (PI/Helpdesk): dodochen@nctu.edu.tw

Publications

37609633
DoSurvive: A webtool for investigating the prognostic power of a single or combined cancer biomarker. [PMID: 37609633]
Hao-Wei Wu, Jian-De Wu, Yen-Ping Yeh, Timothy H Wu, Chi-Hong Chao, Weijing Wang, Ting-Wen Chen

We present DoSurvive, a user-friendly survival analysis web tool and a cancer prognostic biomarker centered database. DoSurvive is the first database that allows users to perform multivariant survival analysis for cancers with customized gene/patient list. DoSurvive offers three survival analysis methods, Log rank test, Cox regression and accelerated failure time model (AFT), for users to analyze five types of quantitative features (mRNA, miRNA, lncRNA, protein and methylation of CpG islands) with four survival types, i.e. overall survival, disease-specific survival, disease-free interval, and progression-free interval, in 33 cancer types. Notably, the implemented AFT model provides an alternative method for genes/features which failed the proportional hazard assumption in Cox regression. With the unprecedented number of survival models implemented and high flexibility in analysis, DoSurvive is a unique platform for the identification of clinically relevant targets for cancer researcher and practitioners. DoSurvive is freely available at http://dosurvive.lab.nycu.edu.tw/.

iScience. 2023:26(8) | 7 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4126/6895 (40.174%)
Raw bio-data:
313/582 (46.392%)
Health and medicine:
1041/1738 (40.161%)
Modification:
254/337 (24.926%)
Structure:
576/967 (40.538%)
4126
Total Rank
4
Citations
2
z-index

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Record metadata

Created on: 2024-07-16
Curated by:
Wenzhuo Cheng [2024-08-28]
Wenzhuo Cheng [2024-07-24]
shaosen zhang [2024-07-16]