ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection.
Document Type
Article
Publication Date
5-20-2022
Publication Title
iScience
Keywords
washington; isb; Microbiome; Oncology; Public health
Abstract
Patients with cancer with different molecular characterization and subtypes result in different response to anticancer therapeutics and survival. To identify features that are associated with prognosis is essential to precision medicine by providing clues for target identification, drug discovery. Here, we developed a tumor online prognostic analysis platform (ToPP) which integrated eight multi-omics features and clinical data from 68 cancer projects. It provides multiple approaches for customized prognostic studies, including 1) Prognostic analysis based on multi-omics features and clinical characteristics; 2) Automatic construction of prognostic model; 3) Pancancer prognostic analysis in multi-omics data; 4) Explore the impact of different levels of feature combinations on patient prognosis; 5) More sophisticated prognostic analysis according to regulatory network. ToPP provides a comprehensive source and easy-to-use interface for tumor prognosis research, with one-stop service of multi-omics, subtyping, and online prognostic modeling. The web server is freely available at http://www.biostatistics.online/topp/index.php.
Clinical Institute
Cancer
Department
Oncology
Department
Institute for Systems Biology
Recommended Citation
Ouyang, Jian; Qin, Guangrong; Liu, Zhenhao; Jian, Xingxing; Shi, Tieliu; and Xie, Lu, "ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection." (2022). Articles, Abstracts, and Reports. 6388.
https://digitalcommons.providence.org/publications/6388
