A review of independent component analysis application to microarray gene expression data
W Kong, CR Vanderburg, H Gunshin, JT Rogers… - …, 2008 - Taylor & Francis
Independent component analysis (ICA) methods have received growing attention as
effective data-mining tools for microarray gene expression data. As a technique of higher …
effective data-mining tools for microarray gene expression data. As a technique of higher …
Motif-directed network component analysis for regulatory network inference
Abstract Background Network Component Analysis (NCA) has shown its effectiveness in
discovering regulators and inferring transcription factor activities (TFAs) when both …
discovering regulators and inferring transcription factor activities (TFAs) when both …
Gene module identification from microarray data using nonnegative independent component analysis
Genes mostly interact with each other to form transcriptional modules for performing single
or multiple functions. It is important to unravel such transcriptional modules and to determine …
or multiple functions. It is important to unravel such transcriptional modules and to determine …
Integrative network component analysis for regulatory network reconstruction
Abstract Network Component Analysis (NCA) has shown its effectiveness in regulator
identification by inferring the transcription factor activity (TFA) when both microarray data …
identification by inferring the transcription factor activity (TFA) when both microarray data …
Computational Dissection of Composite Molecular Signatures and Transcriptional Modules
T Gong - 2009 - vtechworks.lib.vt.edu
Computational Dissection of Composite Molecular Signatures and Transcriptional Modules Page
1 Computational Dissection of Composite Molecular Signatures and Transcriptional Modules …
1 Computational Dissection of Composite Molecular Signatures and Transcriptional Modules …