In silico identification of cancer genes by high throughput analyses / 生物信息学方法大规模筛选肿瘤差异表达基因
In silico identification of cancer genes by high throughput analyses / 生物信息学方法大规模筛选肿瘤差异表达基因
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Xi'an: Xi'an Jiaotong University
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Chinese
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Xi'an: Xi'an Jiaotong University
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Objective: To identify potential candidate genes related to the cancerous phenotype by analyzing databases publicly available. Methods Using a data-mining tool called Digital Differential Display (DDD) from the Cancer Gene Anatomy Project database, ESTs from 17 different tumor types were analyzed for differential expression. Results: We obtained 13...
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In silico identification of cancer genes by high throughput analyses / 生物信息学方法大规模筛选肿瘤差异表达基因
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TN_cdi_proquest_journals_2182384105
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2182384105
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1671-8259
