Step 1: Register for an account If you haven't already created an account, you should be seeing a page like this one:    Simply follow the link and register for an account. You will be receiving notifications about the completion of your job, as well as the link to access the denoised data at the email address you use to create your account. Step 2: Log in to your account Once you successfully login, the screen should look like this: Step 3: Explore the SAVER-X settings that might help denoise your data Currently, SAVER-X has trained deep count auto-encoder models across a range of tissue types (retina, brain, blood, etc.), cell types, as well as species. SAVER-X is equipped to deal with UMI counts, and the input matrix MUST BE a matrix of UMI counts. Users can choose a specific model involving any combination of these three variables against which they would like to denoise their data. Many of these choices will be context-dependent though they can also certainly be exploratory. For instance,  if a researcher has generated single cell transcriptomics data from the mouse hippocampus, selecting "Mouse" and "Brain" would be the logical first choices. On the other hand, if you have generated data from the human retina but are interested to see if denoising it using a model trained on mouse retina can lead to new discoveries, then SAVER-X allows the users to explore such transfer learning questions. If you are unsure of how to select the models, "No Pretraining" is a default model choice.