Screening features to improve the class prediction of acute myeloid leukemia and myelodysplastic syndrome

	Screening features to improve the class prediction of acute myeloid leukemia and myelodysplastic syndrome
	Kaishi Li; Meixue Yang; Gaurav Sablok; Jianping Fan; Fengfeng Zhou
刊名	Gene
	2013
英文摘要	After more than three decades of intensive investigations, the underpinning mechanism of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) pathogenesis still remains largely uncharacterized, and their diagnosis relies heavily on the subjective factors. Recently gene expression profiling technique showed significant improvement in classifying some subtypes of AML, but the model's discriminating power of MDS from AML is still in its infancy. Feature selection plays an important role in the classification of the samples on the basis of the gene expression profiles. Our hypothesis explains that a better choice of features could improve the classification of the diseased and normal stage samples, and the potential application of feature screening to produce feature sets, with better accuracies and lowest number of embedded features. The observed results suggest that feature selection proves to be an essential and affirmative step in the biomedical data mining models based on gene expression profiles. (c) 2012 Elsevier B.V. All rights reserved.
收录类别	SCI
原文出处	http://ac.els-cdn.com/S0378111912012322/1-s2.0-S0378111912012322-main.pdf?_tid=f276f526-086d-11e5-8505-00000aab0f02&acdnat=1433170581_219451e52a21cb98f662efabcb3a5dca
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4844]
专题	深圳先进技术研究院_医工所
作者单位	Gene
推荐引用方式 GB/T 7714	Kaishi Li,Meixue Yang,Gaurav Sablok,et al. Screening features to improve the class prediction of acute myeloid leukemia and myelodysplastic syndrome[J]. Gene,2013.
APA	Kaishi Li,Meixue Yang,Gaurav Sablok,Jianping Fan,&Fengfeng Zhou.(2013).Screening features to improve the class prediction of acute myeloid leukemia and myelodysplastic syndrome.Gene.
MLA	Kaishi Li,et al."Screening features to improve the class prediction of acute myeloid leukemia and myelodysplastic syndrome".Gene (2013).