You can search for intersections among targets predicted by five predicted softwares(TargetScan, PicTar, PITA, miRanda/mirSVR and RNA22) by
entering the gene name or selecting a microRNA name and selecting one/multiple target prediction softwares.
Here, we list the predicted intersections supported with CLIP-Seq data.
- When you selected targetScan and picTar, the output will include target sites predicted by both targetScan and picTar programs.
- When you selected all predicted softwares, the output will include target sites predicted by all predicted programs.
- Number of supporting Experiments can be used to reduce false positives for predicted target sites. For example, medium stringency(>=2) means that >=2 CLIP-Seq experiments supported the predicted miRNA target site.
- Number of Cancer Types(Pan-Cancer) can be used to explore anti-correlation (pearson correlation: r<0, p-value<0.05) between miRNA and target genes across diverse cancer types. For example, cancer type >=1 means that expression of miRNA and target gene is anti-correlation (pearson correlation: r<0, p-value<0.05) at least one cancer type.