A data-driven perspective to your gene expression profile for human tissues and diseases

Leveraging gene expression profiles of thousands of tissue and disease samples by comparing them all to each other, URSA and URSA(HD) identify distinct molecular signatures of individual tissues and diseases. To ascertain the tissue and disease signals in your data, submit your gene expression profiles one at a time. A link to a single list of all your results is sent by email.
Alternatively contact us if you would like to run bulk queries, need help with processing data, or go to general help.
Note, after submitting your job, processing may take up to 10 minutes.


Example input files: GSM100888, GSM74404, ERX011182

Job name

Email address to send results. (Optional)

Click here to see list of Disease Models
Click here to suggest a disease model to expand URSAHD


Lee YS, Krishnan A, Oughtred R, Rust J, Chang CS, Ryu J, Kristensen VN, Dolinski K, Theesfeld CL, Troyanskaya OG. (2019)
A Computational Framework for Genome-wide Characterization of the Human Disease Landscape Cell Systems.
Lee YS, Krishnan A, Zhu Q, Troyanskaya OG. (2013)
Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies. Bioinformaticsa