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

机译:基于基因分析使用SOM的弥漫性大B细胞淋巴瘤结果预测

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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:死亡的原因正在从日本的传染病中迁移到生命习性疾病。自1981年以来,癌症占据了日本死亡的第一个原因。因此,解决癌症问题是一种迫切问题。最近,据了解,预后癌症病的结果与基因的特殊组合有关。然而,在预后预测癌症疾病的结果是非常困难的,因为存在大量基因,并且我们必须探索它们中基因的特殊组合。本研究旨在找到特殊的基因组合,这影响了预后癌症疾病的结果。自组织地图(SOM)适用于实现我们的目标。即,SOM用于群集基因以预测预后癌症疾病的结果。还开发了一些工具来分析SOM结果,因为SOM仅用于指定基因的组合,这影响了癌症疾病在预后的结果。数值实验呈现了关于预后癌症疾病结果的一些有用信息。

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