A factor analysis approach to transcription regulatory network reconstruction using gene expression data

2012 ◽  
Author(s):  
Wei Chen
Keyword(s):  
Gene Expression ◽  
Factor Analysis ◽  
Gene Expression Data ◽  
Regulatory Network ◽  
Network Reconstruction ◽  
Analysis Approach ◽  
Expression Data ◽  
Transcription Regulatory Network

scholarly journals Reconstruction of the Regulatory Network for Bacillus subtilis and Reconciliation with Gene Expression Data

2016 ◽  
Vol 7 ◽  
Author(s):  
José P. Faria ◽  
Ross Overbeek ◽  
Ronald C. Taylor ◽  
Neal Conrad ◽  
Veronika Vonstein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bacillus Subtilis ◽  
Gene Expression Data ◽  
Regulatory Network ◽  
Expression Data

PAGeneRN

2020 ◽  
pp. 1052-1075 ◽  
Author(s):  
Dina Elsayad ◽  
A. Ali ◽  
Howida A. Shedeed ◽  
Mohamed F. Tolba
Keyword(s):  
Gene Expression ◽  
Data Analysis ◽  
Network Analysis ◽  
Gene Regulatory Network ◽  
Gene Expression Data ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Expression Data ◽  
Gene Expression Data Analysis ◽  
Gene Regulatory

The gene expression analysis is an important research area of Bioinformatics. The gene expression data analysis aims to understand the genes interacting phenomena, gene functionality and the genes mutations effect. The Gene regulatory network analysis is one of the gene expression data analysis tasks. Gene regulatory network aims to study the genes interactions topological organization. The regulatory network is critical for understanding the pathological phenotypes and the normal cell physiology. There are many researches that focus on gene regulatory network analysis but unfortunately some algorithms are affected by data size. Where, the algorithm runtime is proportional to the data size, therefore, some parallel algorithms are presented to enhance the algorithms runtime and efficiency. This work presents a background, mathematical models and comparisons about gene regulatory networks analysis different techniques. In addition, this work proposes Parallel Architecture for Gene Regulatory Network (PAGeneRN).

A multivariate analysis approach to the integration of proteomic and gene expression data

PROTEOMICS ◽  
2007 ◽  
Vol 7 (13) ◽  
pp. 2162-2171 ◽  
Author(s):  
Ailís Fagan ◽  
Aedín C. Culhane ◽  
Desmond G. Higgins
Keyword(s):  
Gene Expression ◽  
Multivariate Analysis ◽  
Gene Expression Data ◽  
Analysis Approach ◽  
Expression Data

scholarly journals Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection

2011 ◽  
Vol 1 (1) ◽  
pp. 27 ◽  
Author(s):  
Konstantina Dimitrakopoulou ◽  
Charalampos Tsimpouris ◽  
George Papadopoulos ◽  
Claudia Pommerenke ◽  
Esther Wilk ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Influenza A ◽  
Gene Network ◽  
Network Reconstruction ◽  
Expression Data ◽  
H1n1 Infection ◽  
Influenza A H1n1 ◽  
Gene Network Reconstruction

scholarly journals Cascaded Factor Analysis and Wavelet Transform Method for Tumor Classification Using Gene Expression Data

2012 ◽  
Vol 4 (9) ◽  
pp. 73-79
Author(s):  
Jayakishan Meher ◽  
Ram Chandra Barik ◽  
Madhab Ranjan Panigrahi ◽  
Saroj Kumar Pradhan ◽  
Gananath Dash
Keyword(s):  
Gene Expression ◽  
Factor Analysis ◽  
Wavelet Transform ◽  
Gene Expression Data ◽  
Tumor Classification ◽  
Expression Data ◽  
Transform Method
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