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Results: 3

1.
Figure 1

Figure 1. From: Identification of transcriptional regulatory networks specific to pilocytic astrocytoma.

SAM-based gene selection framework employed to identify differentially expressed genes in independent sets of pilocytic astrocytoma gene expression data.

Hrishikesh Deshmukh, et al. BMC Med Genomics. 2011;4:57-57.
2.
Figure 2

Figure 2. From: Identification of transcriptional regulatory networks specific to pilocytic astrocytoma.

Creation of a minimal transcriptional regulatory network. Step 1: Differentially expressed genes (DEGs) are identified using SAM based selection. Step 2: Transcription Factors (TFs) and regulatory relationships (i.e. TF - TF) are identified among DEGs by using PAP. Step 3: A regulatory network is drawn by finding target genes regulated by TFs (i.e. TF - Target) from the DEG set using PAP. Step 4: A minimal network is generated by identifying targets regulated by more than one transcription factor.

Hrishikesh Deshmukh, et al. BMC Med Genomics. 2011;4:57-57.
3.
Figure 3

Figure 3. From: Identification of transcriptional regulatory networks specific to pilocytic astrocytoma.

Minimal transcriptional regulatory networks in gliomas. (A) Minimal network for pilocytic astrocytoma. Transcription factors (TF) are shown by large solid circles, target genes are shown by small solid circles. Interactions between TF-TF and TF-target are shown by directed edges. Genes overexpressed in PA relative to non-malignant brain tissue are shown in red, while genes whose expression is lower in PA are shown in green. (B) Similar relationships depicted in the minimal network assembled from the oligodendroglioma gene expression data set. (C) Relationships that are unique to PA as compared to the minimal network assembled for GBM.

Hrishikesh Deshmukh, et al. BMC Med Genomics. 2011;4:57-57.

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