Robust Processing of Microarray Data by Independent Component Analysis

2005 ◽  
pp. 1051-1058
Author(s):  
Francisco Díaz ◽  
Raul Malutan ◽  
Pedro Gómez ◽  
Victoria Rodellar ◽  
Carlos G. Puntonet
Keyword(s):  
Independent Component Analysis ◽  
Microarray Data ◽  
Component Analysis ◽  
Independent Component ◽  
Robust Processing

Gene Module Identification from Microarray Data Using Nonnegative Independent Component Analysis

2007 ◽  
Vol 1 ◽  
pp. 117762500700100 ◽  
Author(s):  
Ting Gong ◽  
Jianhua Xuan ◽  
Chen Wang ◽  
Huai Li ◽  
Eric Hoffman ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Microarray Data ◽  
Component Analysis ◽  
Independent Component ◽  
Gene Module ◽  
Module Identification

Using Independent Component Analysis to Process Magnetotelluric Data

2013 ◽  
Vol 295-298 ◽  
pp. 2795-2798 ◽  
Author(s):  
Jin Ling Cui ◽  
Ming Deng ◽  
Jian En Jing ◽  
En Ci Wang
Keyword(s):  
Independent Component Analysis ◽  
Noisy Data ◽  
Component Analysis ◽  
Independent Component ◽  
Impedance Tensor ◽  
Data Sets ◽  
Analysis Method ◽  
Magnetotelluric Data ◽  
Recorded Data ◽  
Robust Processing

It is much more difficult to estimate magnetotelluric(MT) impedance tensor in the sites which are contaminated by high noise. In order to estimate a precise impedance tensor, we examine a new method called independent component analysis (ICA) that is developed to remove the noise in the recorded data. ICA is a time series analysis method, in which complicated data sets can be separated into all underlying sources without knowing these sources or the way that they are mixed. In this paper, we use the ICA method to process real MT data. All results show that apparent resistivity and phases which are preprocessed by ICA and derived from impedance tensors are generally more stable than only robust processing. These results reveal that ICA has the potential to handle noisy data.

scholarly journals Independent component analysis of microarray data in the study of endometrial cancer

Oncogene ◽  
2004 ◽  
Vol 23 (39) ◽  
pp. 6677-6683 ◽  
Author(s):  
Samir A Saidi ◽  
Cathrine M Holland ◽  
David P Kreil ◽  
David J C MacKay ◽  
D Stephen Charnock-Jones ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Independent Component Analysis ◽  
Microarray Data ◽  
Component Analysis ◽  
Independent Component
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