Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations

[1] Shmulevich I(2002)Gene perturbation and intervention in probabilistic boolean networks Bioinformatics 18 1319-31

[2] Dougherty ER(2008)Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information BMC Bioinformatics 9 1-15

[3] Zhang W(2011)Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information Bioinformatics 28 98-104

[4] Luo W(2008)Sparse inverse covariance estimation with the graphical lasso Biostatistics 9 432-41

[5] Hankenson KD(2014)Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm BMC Bioinformatics 15 Suppl 7 S5-9

[6] Woolf PJ(2005)A new dynamic bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data Bioinformatics 21 71-52

[7] Zhang X(2011)A lasso regression model for the construction of microrna-target regulatory networks Bioinformatics 27 2406-76

[8] Zhao XM(2016)Gene regulatory network inference using fused lasso on multiple data sets Sci Rep 6 20533-87

[9] Friedman J(2004)Identification of genetic networks Genetics 166 1037-13

[10] Hastie T(2008)Gene network inference via structural equation modeling in genetical genomics experiments Genetics 178 1763-88

[1] Shmulevich I(2002)Gene perturbation and intervention in probabilistic boolean networks Bioinformatics 18 1319-31

[2] Dougherty ER(2008)Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information BMC Bioinformatics 9 1-15

[3] Zhang W(2011)Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information Bioinformatics 28 98-104

[4] Luo W(2008)Sparse inverse covariance estimation with the graphical lasso Biostatistics 9 432-41

[5] Hankenson KD(2014)Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm BMC Bioinformatics 15 Suppl 7 S5-9

[6] Woolf PJ(2005)A new dynamic bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data Bioinformatics 21 71-52

[7] Zhang X(2011)A lasso regression model for the construction of microrna-target regulatory networks Bioinformatics 27 2406-76

[8] Zhao XM(2016)Gene regulatory network inference using fused lasso on multiple data sets Sci Rep 6 20533-87

[9] Friedman J(2004)Identification of genetic networks Genetics 166 1037-13

[10] Hastie T(2008)Gene network inference via structural equation modeling in genetical genomics experiments Genetics 178 1763-88