Paper Information

Journal:   IRANIAN JOURNAL OF PUBLIC HEALTH   AUGUST 2014 , Volume 43 , Number 8; Page(s) 1091 To 1098.
 
Paper: 

A GENE SELECTION METHOD FOR SURVIVAL PREDICTION IN DIFFUSE LARGE B-CELL LYMPHOMAS PATIENTS USING 1D DISCRETE WAVELET TRANSFORM

 
 
Author(s):  FARHADIAN MARYAM, MAHJUB HOSSEIN*, MOGHIMBEIGI ABBAS, POOROLAJAL JALAL, MANSOORIZADEH MUHARRAM
 
* RESEARCH CENTER FOR HEALTH SCIENCES AND DEPT. OF EPIDEMIOLOGY & BIOSTATISTICS, SCHOOL OF PUBLIC HEALTH, HAMADAN UNIVERSITY OF MEDICAL SCIENCES, HAMADAN, IRAN
 
Abstract: 

Background: An important aspect of microarray studies includes the prediction of patient survival based on their gene expression profile. To deal with the high dimensionality of this data, use of a dimension reduction procedure along with the survival prediction model is necessary. This study aimed to present a new method based on wavelet transform for survival relevant gene selection.
Methods: The data included 2042 gene expression measurements from 40 patients with Diffuse Large B-Cell Lymphomas (DLBCL). The pre-processing gene expression data is decomposed using third level of the 1D discrete wavelet transform. The detail coefficients at levels 1 and 2 are filtered out and expression data reconstructed using the approximation and detailed coefficients at the third level. All the genes are then scored based on thet score. Then genes with the highest scores are selected. By using forward selection method in Cox regression model, significant genes were identified.
Results: The results showed wavelet-based gene selection method presents acceptable survival prediction. Using this method, six significant genes were selected. It was indicated the expression ofGENE3359X and GENE3968X decreased the survival time, whereas the expression ofGENE967X, GENE3980X, GENE3405X and GENE1813X increased the survival time.
Conclusion: Wavelet-based gene selection method is a potentially useful tool for the gene selection from microarray data in the context of survival analysis.

 
Keyword(s): SURVIVAL ANALYSIS, ONE DIMENSIONAL WAVELET TRANSFORM, MICROARRAY DATA, DLBCL
 
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