目的：建立直肠癌筛选血清蛋白质指纹图谱模型并初步验证。
AIM: To establish a serum protein pattern model for screening rectal carcinoma.
目的：建立基于人工神经网络的血清蛋白质指纹图谱模型，并探讨其在肝癌诊断中的应用。
Aim: To evaluate the application of serum protein fingerprint pattern based on artificial neural network in diagnosis of liver cancer.
区分肾母细胞瘤与其他腹腔实体肿瘤的血清蛋白质指纹图谱模型特异性为100%，敏感性为93.3%。
The diagnostic model combined with 2 biomarkers could separate nephroblastoma from other child′s abdominal solid tumors with a sensitivity of 93.3%, and a specificity of 100%.
目的从先天性巨结肠(HD)患儿血清蛋白质中筛选特异的蛋白质标记物，构建诊断HD的血清蛋白质指纹图谱模型。
Objective To set up a model for the detection of the serum protein by using the protein chip technology for exploration of serum protein finger print pattern models in Hirschsprung's Disease (HD).
目的从先天性巨结肠(HD)患儿血清蛋白质中筛选特异的蛋白质标记物，构建诊断HD的血清蛋白质指纹图谱模型。
Objective To set up a model for the detection of the serum protein by using the protein chip technology for exploration of serum protein finger print pattern models in Hirschsprung's Disease (HD).
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