title: A web-server of cell type discrimination system.
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.
authors.affiliation: Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA.
authors.forename: Anyou
authors.identifier: 0000-0002-4981-3606
authors.initials: A
authors.lastname: Wang
authors.affiliation: Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA ; Division of Gynecologic Oncology, Linyi Tumor Hospital, Shandong 276000, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhong
authors.affiliation: Department of Probability and Statistics, School of Mathematics, Beijing Institute of Technology, Beijing 100081, China.
authors.forename: Yanhua
authors.identifier: 0000-0001-5654-9164
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
authors.forename: Qianchuan
authors.identifier: 0000-0001-7044-6591
authors.initials: Q
authors.lastname: He
mesh_terms: D000328:Adult; D000818:Animals; D003584:Cytological Techniques / Q000295:instrumentation / Q000379:methods; D006801:Humans; D020407:Internet; D008962:Models, Theoretical; D011381:Programming Languages; D012985:Software Design