Paper Info
Title
Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers.
Abstract
Integrative Hypothesis Test IHT has been recently proposed for an integrated study of hypothesis test, classification analysis and feature selection. This paper not only applies IHT to identifying miRNAs biomarkers for the differentiation of lung cancer and Chronic Obstructive Pulmonary Disease COPD, but also proposes a bootstrapping method to enhance the reliability of IHT ranking on samples with a small size and missing values. On the GEO data set GSE24709, the previously reported fourteen differentially expressed miRNAs have been re-confirmed via one by one enumeration of their IHT ranking, with two doubtful miRNAs identified. Moreover, every pair of miRNAs is also exhaustively enumerated to examine the pairwise effect via the p-value, misclassification, and correlation, further identifying those that take core roles in coordinated effects. Furthermore, linked cliques are found featured with joint differentiation performances, which motivates us to identify such clique patterns as joint miRNAs biomarkers.
Year
DOI
Venue
2015
10.1007/978-3-319-23862-3_53
IScIDE
Keywords
Field
DocType
IHT, Bootstrapping, Differential gene expression
Disease,Ranking,Feature selection,Biology,Bootstrapping,Biomarker (medicine),Correlation,Missing data,Bioinformatics,Statistical hypothesis testing
Conference
Volume
ISSN
Citations 
9243
0302-9743
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Kai-Ming Jiang100.68
Bao-Liang Lu200.34
Lei Xu33590387.32