Semantic map generation for biological databases

摘要：

BackgroundLow-dimensional representation is a convenient method of having a synthetic view of complex datasets and has been used for a long time. This kind of representation is also called a feature or semantic map when the representation is related to words in a document. The two most popular methods are self-organizing maps and generative topographic mapping. The second is statistically well-founded but far less computationally efficient than the first. A drawback of self-organizing maps is that they do not project all points but only map nodes.

作者: Hoan N Nguyen Nicolas Wicker David Kieffer Olivier Poch

作者单位: Laboratoire de bioinformatique et génomique intégratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch Cedex, France

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 895

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）