Spermatogenesis-related Gene Selection with DNA microarray Data and Gene Ontology

机译：DNA芯片数据和基因本体论与精子发生相关的基因选择

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摘要

Spermatogenesis-related genes are essential for mammalian male reproduction. To select spermatogenesis-related gene from microarray data, we integrate GeneRank with Gene Ontology (GO)-terms semantic similarity. Basing on this method, we rank genes of microarray dataset, and the results indicate that using GeneRank combining gene expression information with GO, provides a useful framework for spermatogenesis-related gene selection.

机译：精子发生相关基因对于哺乳动物雄性繁殖至关重要。要从微阵列数据中选择与精子发生相关的基因，我们将GeneRank与Gene Ontology（GO）-术语语义相似性进行整合。基于此方法，我们对微阵列数据集的基因进行了排序，结果表明使用GeneRank将基因表达信息与GO结合使用，为精子发生相关基因的选择提供了有用的框架。

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来源
《2011 international conference on bioinformatics and biomedical technology》|2011年|223-227|共5页
会议地点 Sanya(CN)
作者
Jiesi Shi; Tianxue Gong; Weixiang Liu; Lan Tao; Aifa Tang;
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作者单位

College of Computer Science and Software Engineering Shenzhen University Shenzhen, China 518060;

College of Computer Science and Software Engineering Shenzhen University Shenzhen, China 518060;

Department of Biomedical Engineering School of Medicine Shenzhen Key Lab of Biomedical Engineering Shenzhen University Shenzhen, China, 518060;

College of Computer Science and Software Engineering Shenzhen University Shenzhen, China 518060;

Shenzhen Key Lab of Male Reproduction and Genetics, Peking University Shenzhen Hospital Shenzhen, China 518060;

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原文格式 PDF
正文语种 eng
中图分类生物工程学（生物技术）;
关键词
spermatogenesis; gene selection; GeneRank; microarray; Gene Ontology (GO); semantic similarity;

机译：精子发生;基因选择; GeneRank;微阵列;基因本体论（GO）;语义相似性;
入库时间 2022-08-26 13:58:22

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1. A data mining framework based on boundary-points for gene selection from DNA-microarrays: Pancreatic Ductal Adenocarcinoma as a case study [J] . Juan Ramos, José A. Castellanos-Garzón, Juan F. de Paz, Engineering Applications of Artificial Intelligence . 2018,第APRa期

机译：一个基于边界点的数据挖掘框架，用于从DNA微阵列中选择基因：胰腺导管腺癌为例
2. Noise sampling method: an ANOVA approach allowing robust selection of differentially regulated genes measured by DNA microarrays [J] . Sorin Draghici, Olga Kulaeva, Bruce Hoff, Bioinformatics . 2003,第11期

机译：噪声采样方法：一种方差分析方法，可以可靠地选择由DNA微阵列测量的差异调节基因
3. protein, the Cra recognition weight matrix from foot-printing data was developed and used to scan the whole genome. Several new Cra-binding sites were found, and some of the result was consistent with the DNA microarray data. The ED pathway was active in the cra mutant; we constructed cra.edd double genes knockout mutant to block this pathway, where the acetate overflowed due to the down-regulation of aceA,B and icd gene expressions. Then we further constructed cra.edd.iclR triple genes knockout [J] . Acta Anaesthesiologica Scandinavica . 2009,第10期

机译：从脚印数据中提取出Cra识别权重矩阵，并将其用于扫描整个基因组。发现了几个新的Cra结合位点，其中一些结果与DNA微阵列数据一致。 ED途径在cra突变体中很活跃。我们构建了craded双基因敲除突变体，以阻断该途径，其中乙酸由于aceA，B和icd基因表达的下调而溢出。然后我们进一步构建了cra.edd.iclR三基因敲除
4. Spermatogenesis-related Gene Selection with DNA microarray Data and Gene Ontology [C] . Jiesi Shi, Weixiang Liu, Tianxue Gong International Conference on Environment Science and Biotechnology . 2013

机译：用DNA微阵列数据和基因本体学相关的生物发育相关基因选择
5. Development of a ‘genetic signature of environmental lead exposure’ in wild Peromyscus using combinatorial data from cDNA microarrays and blood metabolites [D] . Basu, Amitabha 2008

机译：利用cDNA微阵列和血液代谢产物的组合数据，在野生Peromyscus中开发“环境铅暴露的遗传特征”
6. Identification of disease-causing genes using microarray data mining and Gene Ontology [O] . Azadeh Mohammadi, Mohammad H Saraee, Mansoor Salehi 2011

机译：使用微阵列数据挖掘和基因本体论鉴定致病基因
7. Spermatogenesis-related Gene Selection with DNA microarray Data and Gene Ontology [O] . Shi Jiesi, Liu Weixiang, Gong Tianxue, 2011

机译：DNA芯片数据和基因本体论与精子发生相关的基因选择

Spermatogenesis-related Gene Selection with DNA microarray Data and Gene Ontology

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