IMSmining: A Tool for Imaging Mass Spectrometry Data Biomarker Selection and Classification

被引：0
|
作者：
Liang, Jingsai [1 ]
Hong, Don [1 ,2 ]
Zhang, Fengqing [3 ]
Zou, Jiancheng [1 ,2 ]
机构：
[1] Middle Tennessee State Univ, Computat Sci Program, Murfreesboro, TN 37130 USA
[2] North China Univ Technol, Coll Sci, Beijing, Peoples R China
[3] Drexel Univ, Dept Psychol, Philadelphia, PA 19104 USA
来源：
MATHEMATICS AND COMPUTING | 2015年 / 139卷
关键词：
IMS data processing; Statistical computing; Wavelet application; Biomarker selection and Classification; Software package; ELASTIC NET;
D O I：
10.1007/978-81-322-2452-5_11
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We developed IMSmining, a free software tool combining functions of intuitive visualization of imaging mass spectrometry (IMS) data with advanced analysis algorithms in a single package which is easy to operate. Main functions of IMSmining include data visualization, biomarker selection, and classification using advanced multivariate analysis methods such as elastic net, sparse PCA, as well as wavelets. It can be used to study the correlation and distribution of the IMS data by incorporating the spatial information in the entire image cube and to help finding the distinction of the possible features caused by the biological structure and the potential biomarkers. This software package can be downloaded from http://capone.mtsu.edu/dhong/IMSmining.htm.
引用
收藏
页码：155 / 162
页数：8
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