CLUSTERING BIOLOGICAL ANNOTATIONS AND GENE EXPRESSION DATA TO IDENTIFY PUTATIVELY CO-REGULATED BIOLOGICAL PROCESSES

CORNELIU HENEGAR; RAFFAELLA CANCELLO; SOPHIE ROME; HUBERT VIDAL; KARINE CLéMENT; JEAN-DANIEL ZUCKER

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CLUSTERING BIOLOGICAL ANNOTATIONS AND GENE EXPRESSION DATA TO IDENTIFY PUTATIVELY CO-REGULATED BIOLOGICAL PROCESSES

机译：聚类生物注释和基因表达数据以鉴定正相关的生物调控过程

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Motivation: Functional profiling is a key step of microarray gene expression data analysis. Identifying co-regulated biological processes could help for better understanding of underlying biological interactions within the studied biological frame.

机译：动机：功能分析是微阵列基因表达数据分析的关键步骤。识别共同调控的生物过程可能有助于更好地了解所研究的生物学框架内潜在的生物学相互作用。

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《Journal of Bioinformatics and Computational Biology》 |2006年第4期|共20页
作者
CORNELIU HENEGAR; RAFFAELLA CANCELLO; SOPHIE ROME; HUBERT VIDAL; KARINE CLéMENT; JEAN-DANIEL ZUCKER;
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正文语种 eng
中图分类细胞生物学;
关键词
Gene expression pattern analysis; functional profiling of gene expression; computational biology;

机译：基因表达模式分析;基因表达功能分析;计算生物学;

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专利

1. CLUSTERING BIOLOGICAL ANNOTATIONS AND GENE EXPRESSION DATA TO IDENTIFY PUTATIVELY CO-REGULATED BIOLOGICAL PROCESSES [J] . CORNELIU HENEGAR, RAFFAELLA CANCELLO, SOPHIE ROME, Journal of Bioinformatics and Computational Biology . 2006,第4期

机译：聚类生物注释和基因表达数据以鉴定正相关的生物调控过程
2. Integrating biological knowledge based on functional annotations for biclustering of gene expression data [J] . Nepomuceno Juan A., Troncoso Alicia, Nepomuceno-Chamorro Isabel A., Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2015,第3期

机译：基于功能注释的生物学知识整合，可用于基因表达数据的聚类
3. Extracting gene expression patterns and identifying co-expressed genes from microarray data reveals biologically responsive processes [J] . Jeff W Chou, Tong Zhou, William K Kaufmann, BMC Bioinformatics . 2007,第1期

机译：提取基因表达模式并从微阵列数据中鉴定共表达的基因揭示了生物学反应过程
4. A biological data warehousing system for identifying transcriptional regulatory sites from gene expressions of microarray data [C] . Jorng-Tzong Horng Emerging Information Technology Conference, 2005. . 2005

机译：用于从微阵列数据的基因表达中识别转录调控位点的生物数据仓库系统
5. Detecting phenotype-specific interactions between biological processes from microarray data and annotations. [D] . Ansari, Nadeem A. 2010

机译：从微阵列数据和注释中检测生物过程之间的表型特异性相互作用。
6. Cluster analysis ofPlasmodium RNA-seq time-course data identifies stage-specific co-regulated biological processes and regulatory elements [O] . Efejiro Ashano, Itunuoluwa Isewon, Jelili Oyelade, -1

机译：聚类分析疟原虫RNA-seq时程数据可识别特定阶段的共同调控生物过程和调控元件
7. 1 CLUSTERING BIOLOGICAL ANNOTATIONS AND GENE EXPRESSION DATA TO IDENTIFY PUTATIVELY CO-REGULATED BIOLOGICAL PROCESSES [O] . Corneliu Henegar, Sophie Rome, Hubert Vidal 2014

机译：1聚类生物学注释和基因表达数据，以识别共同调控的生物过程

CLUSTERING BIOLOGICAL ANNOTATIONS AND GENE EXPRESSION DATA TO IDENTIFY PUTATIVELY CO-REGULATED BIOLOGICAL PROCESSES

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