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A web-server of cell type discrimination system.
Wang, Anyou; Zhong, Yan; Wang, Yanhua; He, Qianchuan.
  • Wang A; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA.
  • Zhong Y; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA ; Division of Gynecologic Oncology, Linyi Tumor Hospital, Shandong 276000, China.
  • Wang Y; Department of Probability and Statistics, School of Mathematics, Beijing Institute of Technology, Beijing 100081, China.
  • He Q; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
ScientificWorldJournal ; 2014: 459064, 2014.
Article en En | MEDLINE | ID: mdl-24578634
ABSTRACT
Discriminating cell types is a daily request for stem cell biologists. However, there is not a user-friendly system available to date for public users to discriminate the common cell types, embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs), and somatic cells (SCs). Here, we develop WCTDS, a web-server of cell type discrimination system, to discriminate the three cell types and their subtypes like fetal versus adult SCs. WCTDS is developed as a top layer application of our recent publication regarding cell type discriminations, which employs DNA-methylation as biomarkers and machine learning models to discriminate cell types. Implemented by Django, Python, R, and Linux shell programming, run under Linux-Apache web server, and communicated through MySQL, WCTDS provides a friendly framework to efficiently receive the user input and to run mathematical models for analyzing data and then to present results to users. This framework is flexible and easy to be expended for other applications. Therefore, WCTDS works as a user-friendly framework to discriminate cell types and subtypes and it can also be expended to detect other cell types like cancer cells.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lenguajes de Programación / Diseño de Software / Técnicas Citológicas / Internet / Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Adult / Animals / Humans Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lenguajes de Programación / Diseño de Software / Técnicas Citológicas / Internet / Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Adult / Animals / Humans Idioma: En Año: 2014 Tipo del documento: Article