Using the Non-negative Matriz Factorization model in Bioinformatics
BackgroundHigh throughput experiments are changing the way research is done in biology, switching the focus from the reductionist approach of studying one gene or protein at a time to studying collections of components and how the interact. The advent of the so-called Systems Biology has brought new challenges to the scientific community. Microarray experiments,for instance, produce as a result lists of genes that are significantly differentially expressed within collections often containing thousands of genes. It is then up to the researcher to extract biological meaning from this raw information. When more elements come into play researchers must handle a broader scope of knowledge to understand their results. There is therefore a big interest in developing resources that help biologist in their interpretations.
Alberto PascuaI-Montano Ruben Nogales Cadenas Pedro Carmona-Saez Jose Maíia Carazo
Computer Architecture Department.Complutense University of Madrid Spain Biocomputing Unit.National Center for Biotechnology-CSIC.Madrid Spain
国际会议
The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)
北京
英文
896
2009-01-01（万方平台首次上网日期，不代表论文的发表时间）