UniCell: Deconvolve Alpha Registration Form
Summary
UniCell: Deconvolve (UCD), a pre-trained, interpretable, deep learning model to deconvolve cell 10 type fractions and predict cell identity across Spatial Transcriptomic, bulk-RNA-Seq, and scRNA-Seq datasets without contextualized reference data. UCD is trained on 10 million pseudo-mixtures from the world's largest fully-integrated scRNA-Seq training database comprising 28 million annotated single cells spanning 840 unique cell types from 899 studies.

Form Instruction
The UniCell package is currently in the alpha stage. Complete the form below in order to receive an API access token in order to leverage UniCell for your transcriptomics projects.
Email *
First Name *
Last Name *
Institution *
Academic or private organization under which the proposed use will take place
Select the description that best describes your institution. *
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Select the general data modalities you are interested in applying UCD towards. *
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Describe your intended use case for UCD *
How did you hear about UCD? *
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By filling out this form you agree to be contacted about your experience with UCD in an effort for us to better understand how to improve our tools and future services. *
A copy of your responses will be emailed to the address you provided.
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