Provides several data about gene expression microarrays across diseases. MetaSignature allows users to identify consistent gene expression signatures in a specific disease state. It enables researchers to pursue data-driven hypotheses, and permits to explore gene expression meta-analysis data from either diseases or genes of interest. The research is focused on the strongest molecular evidence in order to researcher can break the self-perpetuating annotation inequality cycle that results in research bias.
Stanford Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA, USA; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA; Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA
MetaSignature funding source(s)
Supported by the National Science Foundation Graduate Research 154 Fellowship under Grant No. DGE-114747, the Bill and Melinda Gates 155 Foundation, and NIAID grants 1U19AI109662, U19AI057229 and U54I117925.