Developing Mathmatical Framework to Uncover the Sequence of Genetic Events During

开发数学框架来揭示遗传事件的序列

• 批准号: 8555275
• 负责人: Franziska Michor
• 金额: $ 66.42万
• 依托单位: DANA-FARBER CANCER INST
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8555275
• 关键词: Acute Myelocytic Leukemia; Algorithms; Atlases; Biological Markers; Brain Neoplasms; Cells; Colorectal Cancer; Computational algorithm; Data; Data Analyses; Data Set; Development; Disease; Event; Gene Transfer; Genetic; Genetic Anticipation; Genomics; Glioblastoma; Glioma; Hematopoietic Neoplasms; Human; Knowledge; Laboratories; Lung Neoplasms; Malignant Neoplasms; Memorial Sloan-Kettering Cancer Center; Mining; Modeling; Mus; Mutation; Oncogenes; Patients; Population; Publishing; Recurrence; Role; Screening for cancer; Somatic Cell; Staging; Testing; The Cancer Genome Atlas; advanced disease; base; cancer genome; experience; leukemia; mathematical model; mouse model; novel; tumor; tumorigenesis

The recognition of cancer as a disease caused by the accumulation of genetic alterafions has motivated large-scale efforts to annotate the cancer genome for all human cancers. \Mien combined with computafional approaches that can distinguish statistically significant, recurrent events from the background

认识到癌症是一种由遗传改变积累引起的疾病，促使人们大规模地为所有人类癌症的癌症基因组进行注释。\Mien与计算方法相结合，可以从背景中区分统计上显著的、反复发生的事件