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2015 | OriginalPaper | Buchkapitel

Identification of Osteosarcoma-Related Genes Based on Bioinformatics Methods

verfasst von : Ze-Bing Si, Ji-Gong Wu

Erschienen in: Intelligent Computing Theories and Methodologies

Verlag: Springer International Publishing

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Abstract

Osteosarcoma is one of the malignant cancers. Improving diagnosis and treatment of this disease is urgent. Microarray data have revealed abnormal expression of several genes implicated in osteosarcoma. From the mRNA data, differentially expressed (DE) genes were selected by Wilcox test. Using Endeavour online service, 200 DE genes were selected as osteosarcoma related genes. Combing the module extraction algorithm, we identified 90 osteosarcoma candidate genes. Nine (DCC, FGFR, Fzd1, NFKBIA, CCNE1, CASP3, APC, and LRP6) out of the 90 candidate genes have great potential roles in osteosarcoma.

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Titel: Identification of Osteosarcoma-Related Genes Based on Bioinformatics Methods
verfasst von: Ze-Bing Si
Ji-Gong Wu
Verlag: Springer International Publishing
Buch: Intelligent Computing Theories and Methodologies
Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-22186-1_35

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