scDGMs

scDGMs

Deep Generative Models for single-cell -omics: a tool repository

The scDGM resource

This resource is a collection of tools based on deep generative models (DGMs) for the analysis of single-cell -omics data.

Use the filters below to filter based on tool name, tasks performed by the tool or whether the tool is currently published or a preprint.

Click on a tool to know more about it. A brief description as well as the links to the paper and code repository will apear beneath the table. You can select more than one tool at once.

If you want to know more about DGMs read our review here .

Last updated on 20/11/2023 .

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Select: Published or preprint

About Us

This resource was created by Inés Rivero-García, Miguel Torres and Fátima Sánchez-Cabo, from the Spanish National Center for Cardiovascular Research (CNIC).

If you want to know more about us, check CNIC Bioinformatics Unit or Miguel Torres Lab @ CNIC.

This resource is maintained by Inés Rivero-García. Contact me if you want to add your tool or have found any problem.

Our funding

This project has recieved support from research projects RTI2018-102084-B-I00 and PID2022-141527OB-I00 funded by Ministerio de Ciencia e Innovación, projects PID2022-140058NB-C31 and PGC2018-096486-B-I00 from Ministerio de Ciencia e Innovación and ESF+, project GA-874764 from European Commission (H2020), FEDER Una manera de hacer Europa and fellowship LCF/BQ/DR20/11790019 from La Caixa Foundation.