Publications by Advaita Bioinformatics Team
Paper # of Citations Identifying significantly impacted pathways: a comprehensive review and assessment. Genome Biology, 20:203, October, 2019 Ontological analysis of gene expression [...]
Select Publications Citing iPathwayGuide
Cancer Liu, Y., Lang, T., Jin, B., Chen, F., Zhang, Y., Beuerman, R.W., Zhou, L. and Zhang, Z., 2017. Luteolin inhibits colorectal cancer cell epithelial-to-mesenchymal transition by suppressing CREB1 expression revealed by comparative proteomics study. [...]
The Science of Impact Analysis
Most existing pathway analysis methods focus on either the number of differentially expressed genes observed in a given pathway (enrichment analysis methods), or on the correlation between the pathway [...]
Why do I need to correct my p-values?
Hi there. Advaita is dedicated to bringing you the most advanced, easiest-to-use bioinformatics tools out there. And that includes educational materials designed to help you take advantage of all the powerful features we offer, [...]
When did you do your last background check?
In the world of bioinformatics, we all need to be careful when analyzing our data. I receive countless questions about what background should be used when analyzing gene expression or protein expression data. In [...]