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Prediction of diffuse large B-cell lymphoma outcome based on genes' analysis by use of SOM

机译:基于SOM基因分析的弥漫性大B细胞淋巴瘤预后预测

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The cause of death is moving to the life-habit disease from the infectious disease in Japan. Since 1981, the cancer has occupied the first cause of Japanese death. Therefore, it is an urgent matter to tackle the cancer problem. Recently, it is understood that outcome of the cancer disease in a prognosis is related to the special combination of genes. However, it is very difficult to predict outcome of the cancer disease in a prognosis, because a huge number of genes exist and we have to explore the special combination of genes among them. This study aims at finding the special genes combination, which affects on the outcome of the cancer disease in a prognosis. Self-organizing maps (SOM) is applied to accomplish our aim. Namely, SOM is used to cluster genes to predict the outcome of the cancer disease in a prognosis. Some tools are also developed to analyze the SOM results, because it is insufficient for SOM only to specify the combination of genes, which affects on outcome of the cancer disease in a prognosis. Numerical experiments present some useful information on the outcome of the cancer disease in a prognosis.
机译:死亡原因正在从日本的传染病转移到生活习惯病。自1981年以来,该癌症已成为日本人死亡的第一大原因。因此,解决癌症问题是当务之急。最近,人们了解到癌症疾病的预后与基因的特殊组合有关。但是,由于存在大量基因,因此很难预测癌症预后的结果,因此我们必须探索其中的基因的特殊组合。这项研究旨在发现特殊的基因组合,该组合会影响癌症疾病的预后。自组织地图(SOM)用于实现我们的目标。即,SOM用于将基因聚类以预测癌症疾病在预后中的结果。还开发了一些工具来分析SOM结果,因为仅SOM仅指定基因组合是不够的,这会影响癌症疾病的预后。数值实验提供了一些有关癌症疾病预后的有用信息。

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