The gene linear profile model, composed of model profiles and coefficients, is obtained by ica from gene expression data, so gene classification based on ica is presented.
利用ICA对基因微阵列表达谱数据进行分解获得由基因模型谱和对应系数构成的线性谱模型，并在此基础上进行基因分类。
There are multi -scale feature gene expression, the maximum classification rate is 98.61%, with stable results.
基因表达具有明显的多尺度特征，分类率最大达到98.61%，结果稳定。
Classification by machine learning is an important technique to predict gene functions.
应用机器学习进行分类是基因功能预测的一种重要手段。
The detection of TCR gene rearrangement has an important role in the study of the pathogenesis, classification, diagnosis and monitoring of prognosis of CTCL.
细胞受体基因重排的检测在皮肤T细胞淋巴瘤的发病机制研究、分类、诊断、判断预后上有重要的作用。
Objective to discuss the expression of CDK4 gene in astrocytoma, and the relationship between it and pathological classification.
目的探讨脑星形细胞瘤中cd K 4基因蛋白的表达，及其与星形细胞瘤病理学分级关系。
In these research areas, sample classification based on gene expression data is acting a very important role, it generally has two pivotal steps: gene selection and Classifier design.
在这个研究领域里，基于基因表达数据的样本分类扮演着很重要的角色，它一般具有两个关键步骤：基因选择和分类模型设计。
Objective Discuss the condition and the effect of SVM in the classification of gene expression data.
目的探讨支持向量机在基因表达数据分类研究中的应用条件和效果。
In this paper, the classification, manufacture, labelled methods and principle of detection of nanoparticle tagging DNA probe and its application in gene detection were described and reviewed.
本文从纳米粒子的分类、制备、标记和检测原理等方面对纳米粒子标记DNA探针的制备和应用进行了分析与评述。
Objective To provide a useful tool based on molecular level for clinical diagnosis and classification by detecting gene products encoded by disease genes of muscular dystrophy.
目的对导致肌营养不良症的基因编码产物进行检测，从分子水平为临床诊断和分型提供依据。
According to these two algorithms, this thesis proposed a new gene function classification algorithm based on gene function tree.
依据这两个准则，本文提出了一种改进的基于基因功能树的基因功能分类算法。
AIM: To observe the alteration of gene expression of depression rat models by gene chips of high flux, and explore the pathogenesis of depression combining with classification system of gene function.
目的：采用高通量基因芯片观察大鼠抑郁症模型基因表达的变化，结合基因功能分类体系探讨抑郁症的发病机制。
Through support vector machine algorithms for gene expression data classification training, SVMs provide a effective way for analysis of gene expression data.
通过支持向量机训练算法对基因表达数据进行分类训练，为分析基因数据提供有效的手段。
Objective To study the role of immunity, gene in the classification in lymph tumors.
目的研究免疫、基因在淋巴瘤分类中的作用。
In contrast, the reduced expression of the LO gene had no relation to histological classification, invasion pattern, tumor size, and number of metastasis lymph nodes(P >0.05).
该基因的表达与肿瘤组织学分型、浸润方式、肿瘤大小及淋巴结转移个数等无关（P>0.05）。
Classification for gene expression data is an important research filed in bioinformatics.
对基因表达谱进行分类是生物信息学中一个重要的研究领域。
Finally, after studying the mathematical methods of anglicizing gene chip, experimental data were analyzed by using manual classification method. The reliability of experimental result was analyzed.
最后，在对基因芯片的数学分析方法进行了研究后，运用其中的手工分类法对本次实验数据进行了分析，对实验结果进行了可靠性分析。
The system contains a Web interface for search, a module for classification of figures based on vector representations of figure legends and a module for indexing gene names.
该系统包含了用于搜索的一个网络界面，基于图片图例的向量表示的图片分类的一个模块，和用于索引基因名字的一个模块。
This review discusses the discovering, classification, structure, mechanism, gene modification, and applications in the field of plant gene engineering.
本文简要介绍了抗菌肽的发现、分类、结构、作用机理、基因结构和基因改造，以及抗菌肽在植物基因工程中的应用。
Objective We investigate the use of random forests for classification of gene expression data.
目的探讨随机森林算法在基因表达数据分类研究中的应用。
The problem of feature gene selection and tumor samples classification of microarray gene expression data is one of challenges of gene microarray technology.
基因表达数据的特征基因选取和肿瘤样本分类问题是基因微阵列技术的挑战性课题之一。
This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
针对基于基因表达数据的分类，本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
Several classification methods based on DNA gene expression microarray data are introduced in this paper.
介绍了目前几种基于DNA微阵列基因表达数据的分类方法。
Objective:To study on relationship between of BCR/ABL fusion gene expression and TCM syndrome classification in the patient of chronic myelogenous leukemia(CML).
目的：探讨慢性粒细胞白血病（CML）患者BCR/ABL融合基因表达与中医辨证分型的关系。
In this article, some specific classification methods that have been used to identify patterns of gene expression are reviewed.
本文对基因表达模式识别中的分类方法进行了综述。
The problem of gene selection for cancer classification is considered.
研究了有关癌症分类的基因选择问题。
This thesis improves tumor samples classification of gene expression data in two aspects: classification algorithm and feature gene selection method.
针对基于基因表达数据的肿瘤样本分类，本文从分类算法和特征基因选取方法两个方面进行了改进。
Building an effective classification model based on gene expression profiles is of great importance in tumor diagnosing and its clinical therapy.
基于基因表达谱建立具有有效预测性的肿瘤分类模型对肿瘤的临床诊断与治疗具有非常重要的意义。
The expression level of FHIT gene was closely related to histological classification, cancer cell differentiation, P TNM stages and lymph node involvement in lung cancer patients (P<0.05).
肺癌组织中FHIT基因表达水平降低与肺癌组织学类型、细胞分化程度，患者PTNM分期、淋巴结转移程度存在相关性（P< 0 .0 5） ；
The expression level of FHIT gene was closely related to histological classification, cancer cell differentiation, P TNM stages and lymph node involvement in lung cancer patients (P<0.05).
肺癌组织中FHIT基因表达水平降低与肺癌组织学类型、细胞分化程度，患者PTNM分期、淋巴结转移程度存在相关性（P< 0 .0 5） ；
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