SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival data Article Swipe
Lujun Shen
,
Jinqing Mo
,
Changsheng Yang
,
Yiquan Jiang
,
Liang‐Ru Ke
,
Dan Hou
,
Jingdong Yan
,
Tao Zhang
,
Weijun Fan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1010830
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pcbi.1010830
Summary The survival path mapping approach has been proposed for dynamic prognostication of cancer patients using time-series survival data. The SurvivalPath R package was developed to facilitate building personalized survival path models. The package contains functions to convert time-series data into time-slices data by fixed interval based on time information of input medical records. After the pre-processing of data, under a user-defined parameters on covariates, significance level, minimum bifurcation sample size and number of time slices for analysis, survival paths can be computed using the main function, which can be visualized as a tree diagram, with important parameters annotated. The package also includes function for analyzing the connections between exposure/treatment and node transitions, and function for screening patient subgroup with specific features, which can be used for further exploration analysis. In this study, we demonstrate the application of this package in a large dataset of patients with hepatocellular carcinoma, which is embedded in the package. The SurvivalPath R package is freely available from CRAN, with source code and documentation hosted at https://github.com/zhangt369/SurvivalPath .
Related Topics
Concepts
Computer science
R package
Series (stratigraphy)
Data mining
Function (biology)
Tree (set theory)
Node (physics)
Path (computing)
Time series
Machine learning
Mathematics
Computational science
Biology
Engineering
Programming language
Structural engineering
Evolutionary biology
Mathematical analysis
Paleontology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pcbi.1010830
- OA Status
- gold
- Cited By
- 11
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313598915
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313598915Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pcbi.1010830Digital Object Identifier
- Title
-
SurvivalPath:A R package for conducting personalized survival path mapping based on time-series survival dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-06Full publication date if available
- Authors
-
Lujun Shen, Jinqing Mo, Changsheng Yang, Yiquan Jiang, Liang‐Ru Ke, Dan Hou, Jingdong Yan, Tao Zhang, Weijun FanList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pcbi.1010830Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pcbi.1010830Direct OA link when available
- Concepts
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Computer science, R package, Series (stratigraphy), Data mining, Function (biology), Tree (set theory), Node (physics), Path (computing), Time series, Machine learning, Mathematics, Computational science, Biology, Engineering, Programming language, Structural engineering, Evolutionary biology, Mathematical analysis, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 7Per-year citation counts (last 5 years)
- References (count)
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10Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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