(.csv) format. The five columns represent the TF gene ID, coexpression type, gene ID, PCC under condition 1, PCC under condition 2. You can import these gene pair into the network generation tool, likeCytoscape, to get the visualization of the GCN. To run the GCN program, you have ...
S.C. Wang, "Reconstructing genetic networks from time ordered gene expression data using Bayesian method with global search algorithm", J. Bioinform. Comput. Biol., 2(3), 441- 458, 2004.Wang, S.C.: `Reconstructing genetic networks from time ordered gene expression data using Bayesian method...
Then the "differentiation-index coordinates" was used to detect cell state of four human tumor expression data (GSE7305, GSE4107, GSE5674, and GSE18520) containing normal tissue samples and diseased tissue samples (endometrium, colon, breast, and ovary, respectively) from the GEO (Gene Expressi...
Inferring gene regulatory networks from time-ordered gene expression data of bacillus subtilis using differential equations. Pac. Symp. Biocomput. 8, 17-28.de Hoon M, Imoto S, Kobayashi K, Ogasawara N, Miyano S: Inferring gene regulatory networks from time-ordered gene expression data of ...
Maximum likelihood estimation and new statistical methods are used to evaluate the significance of a proposed network relationship.doi:EP1565741 A4Satoru MiyanoSeiya ImotoMichiel De HoonEPde-Hoon M J,Imoto S,Kobayashi K. Inferring gene regulatory networks from time-ordered gene expression data of ...
Hoon M, Imoto S, Miyano S: Inferring Gene Regulatory Net- works from Time-Ordered Gene Expression Data Using Dif- ferential Equations. In Lecture Notes in Computer Science Springer Berlin/Heidelberg; 2002:283-288.M.J.L. de Hoon, S. Imoto, and S. Miyano, "Inferring Gene Regulatory ...
The analysis of gene expression data has therefore usually been limited to a fold-change analysis, instead of a systematic statistical approach.de Hoon MJLImoto SMiyano SBioinformaticsde Hoon, M.J.L.; Imoto, S.; Miyano, S. Statistical analysis of a small set of time-ordered gene expression...
in microarray space. Our time-ordered linear model can be used as a measurement scale of gene expression variation in microarray space, thus creating a new application for time-course microarray data; estimating the expression pattern similarities between expression data from more than one source. ...